src/03_Recommender_Systems.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recommender Engine Unit Tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from   farfetch import Farfetch\n",
    "import pandas   as     pd\n",
    "import numpy    as     np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of product ratings:   21641\n",
      "Total number of in-stock ratings:  16105\n",
      "Total number of unique customers:  9667\n",
      "Total number of unique products:   13518\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'farfetch_test_customer'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff = Farfetch()\n",
    "ff.set_current_user('farfetch_test_customer')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unpersonalized: Most Rated Single Item"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Leather belt with double G buckle</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>460</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>15</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>platform sneakers</td>\n",
       "      <td>230</td>\n",
       "      <td>30</td>\n",
       "      <td>161</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Buffalo</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>13</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Product Original Discount On Sale Gender  \\\n",
       "0  Leather belt with double G buckle      460        0     460  Women   \n",
       "1                  platform sneakers      230       30     161  Women   \n",
       "2                Tiger print T-shirt      160        0     160    Men   \n",
       "\n",
       "         Made In Designer     Category Total Ratings  Average Rating  \\\n",
       "0  Made in Italy    Gucci  Accessories            15             4.8   \n",
       "1       Imported  Buffalo        Shoes            13             5.0   \n",
       "2       Imported    Kenzo     Clothing            10             4.7   \n",
       "\n",
       "   User Rating       Recommended By  \n",
       "0            4  Most Rated Products  \n",
       "1            4  Most Rated Products  \n",
       "2            1  Most Rated Products  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(3):\n",
    "    ff.most_rated()\n",
    "    ff.update_last_rating(np.random.randint(low=1, high=6))\n",
    "    \n",
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unpersonalized: Best Nine by Designer and Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Designer</th>\n",
       "      <th>Adidas</th>\n",
       "      <th>Dolce &amp; Gabbana</th>\n",
       "      <th>Gucci</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bags</th>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clothing</th>\n",
       "      <td>83</td>\n",
       "      <td>205</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoes</th>\n",
       "      <td>375</td>\n",
       "      <td>131</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Designer  Adidas  Dolce & Gabbana  Gucci\n",
       "Category                                \n",
       "Bags           3               50     78\n",
       "Clothing      83              205     52\n",
       "Shoes        375              131    153"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_nine = pd.DataFrame(ff.best_nine(), columns=['Designer', 'Category', 'Ratings'])\n",
    "best_nine.pivot(index='Category', columns='Designer', values='Ratings')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Leather belt with double G buckle</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>460</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>15</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>platform sneakers</td>\n",
       "      <td>230</td>\n",
       "      <td>30</td>\n",
       "      <td>161</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Buffalo</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>13</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alphaedge 4D sneakers</td>\n",
       "      <td>317</td>\n",
       "      <td>0</td>\n",
       "      <td>317</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>10</td>\n",
       "      <td>4.4</td>\n",
       "      <td>2</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>white and black Pod S31 mesh sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>black, white and grey nite jogger leather snea...</td>\n",
       "      <td>147</td>\n",
       "      <td>0</td>\n",
       "      <td>147</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Product Original Discount  \\\n",
       "0                  Leather belt with double G buckle      460        0   \n",
       "1                                  platform sneakers      230       30   \n",
       "2                                Tiger print T-shirt      160        0   \n",
       "3                              Alphaedge 4D sneakers      317        0   \n",
       "4              white and black Pod S31 mesh sneakers      103       50   \n",
       "5  black, white and grey nite jogger leather snea...      147        0   \n",
       "\n",
       "  On Sale Gender        Made In Designer     Category Total Ratings  \\\n",
       "0     460  Women  Made in Italy    Gucci  Accessories            15   \n",
       "1     161  Women       Imported  Buffalo        Shoes            13   \n",
       "2     160    Men       Imported    Kenzo     Clothing            10   \n",
       "3     317    Men       Imported   Adidas        Shoes            10   \n",
       "4      52    Men       Imported   Adidas        Shoes             8   \n",
       "5     147    Men       Imported   Adidas        Shoes             5   \n",
       "\n",
       "   Average Rating  User Rating        Recommended By  \n",
       "0             4.8            4   Most Rated Products  \n",
       "1             5.0            4   Most Rated Products  \n",
       "2             4.7            1   Most Rated Products  \n",
       "3             4.4            2  Best One Subcategory  \n",
       "4             5.0            5  Best One Subcategory  \n",
       "5             5.0            3  Best One Subcategory  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(3):\n",
    "    ff.best_one_subcategory()\n",
    "    ff.update_last_rating(np.random.randint(low=1, high=6))\n",
    "    \n",
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Leather belt with double G buckle</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>460</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>15</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>platform sneakers</td>\n",
       "      <td>230</td>\n",
       "      <td>30</td>\n",
       "      <td>161</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Buffalo</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>13</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>1</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alphaedge 4D sneakers</td>\n",
       "      <td>317</td>\n",
       "      <td>0</td>\n",
       "      <td>317</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>10</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>white and black Pod S31 mesh sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>8</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>black, white and grey nite jogger leather snea...</td>\n",
       "      <td>147</td>\n",
       "      <td>0</td>\n",
       "      <td>147</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>logo label print T-shirt</td>\n",
       "      <td>643</td>\n",
       "      <td>0</td>\n",
       "      <td>643</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ace embroidered low-top sneaker</td>\n",
       "      <td>650</td>\n",
       "      <td>0</td>\n",
       "      <td>650</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Portofino sneakers</td>\n",
       "      <td>495</td>\n",
       "      <td>0</td>\n",
       "      <td>495</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Calabasas stripe print sweat pants</td>\n",
       "      <td>121</td>\n",
       "      <td>50</td>\n",
       "      <td>61</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GG Marmont matelassé leather super mini bag</td>\n",
       "      <td>890</td>\n",
       "      <td>0</td>\n",
       "      <td>890</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Bags</td>\n",
       "      <td>7</td>\n",
       "      <td>4.857143</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Interlocking G tights</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Devotion tote bag</td>\n",
       "      <td>1495</td>\n",
       "      <td>0</td>\n",
       "      <td>1495</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Bags</td>\n",
       "      <td>4</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>shell crossbody bag</td>\n",
       "      <td>22</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Bags</td>\n",
       "      <td>2</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>black crown logo print cotton t shirt</td>\n",
       "      <td>427</td>\n",
       "      <td>0</td>\n",
       "      <td>427</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Product Original Discount  \\\n",
       "0                   Leather belt with double G buckle      460        0   \n",
       "1                                   platform sneakers      230       30   \n",
       "2                                 Tiger print T-shirt      160        0   \n",
       "3                               Alphaedge 4D sneakers      317        0   \n",
       "4               white and black Pod S31 mesh sneakers      103       50   \n",
       "5   black, white and grey nite jogger leather snea...      147        0   \n",
       "6                            logo label print T-shirt      643        0   \n",
       "7                     Ace embroidered low-top sneaker      650        0   \n",
       "8                                  Portofino sneakers      495        0   \n",
       "9                  Calabasas stripe print sweat pants      121       50   \n",
       "10        GG Marmont matelassé leather super mini bag      890        0   \n",
       "11                              Interlocking G tights      100        0   \n",
       "12                                  Devotion tote bag     1495        0   \n",
       "13                                shell crossbody bag       22       35   \n",
       "14              black crown logo print cotton t shirt      427        0   \n",
       "\n",
       "   On Sale Gender        Made In         Designer     Category Total Ratings  \\\n",
       "0      460  Women  Made in Italy            Gucci  Accessories            15   \n",
       "1      161  Women       Imported          Buffalo        Shoes            13   \n",
       "2      160    Men       Imported            Kenzo     Clothing            10   \n",
       "3      317    Men       Imported           Adidas        Shoes            10   \n",
       "4       52    Men       Imported           Adidas        Shoes             8   \n",
       "5      147    Men       Imported           Adidas        Shoes             5   \n",
       "6      643    Men  Made in Italy  Dolce & Gabbana     Clothing             4   \n",
       "7      650  Women  Made in Italy            Gucci        Shoes             5   \n",
       "8      495    Men  Made in Italy  Dolce & Gabbana        Shoes             5   \n",
       "9       61    Men       Imported           Adidas     Clothing            10   \n",
       "10     890  Women  Made in Italy            Gucci         Bags             7   \n",
       "11     100  Women  Made in Italy            Gucci     Clothing             2   \n",
       "12    1495  Women  Made in Italy  Dolce & Gabbana         Bags             4   \n",
       "13      15  Women       Imported           Adidas         Bags             2   \n",
       "14     427    Men       Imported  Dolce & Gabbana     Clothing             4   \n",
       "\n",
       "    Average Rating  User Rating           Recommended By  \n",
       "0         4.800000            4      Most Rated Products  \n",
       "1         5.000000            4      Most Rated Products  \n",
       "2         4.700000            1      Most Rated Products  \n",
       "3         4.400000            2     Best One Subcategory  \n",
       "4         5.000000            5     Best One Subcategory  \n",
       "5         5.000000            3     Best One Subcategory  \n",
       "6         4.000000            1  Best Nine Subcategories  \n",
       "7         5.000000            1  Best Nine Subcategories  \n",
       "8         4.800000            3  Best Nine Subcategories  \n",
       "9         4.900000            2  Best Nine Subcategories  \n",
       "10        4.857143            2  Best Nine Subcategories  \n",
       "11        5.000000            2  Best Nine Subcategories  \n",
       "12        3.750000            3  Best Nine Subcategories  \n",
       "13        3.000000            5  Best Nine Subcategories  \n",
       "14        5.000000            1  Best Nine Subcategories  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(9):\n",
    "    ff.best_nine_subcategories()\n",
    "    ff.update_last_rating(np.random.randint(low=1, high=6))\n",
    "    \n",
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Content-Based Filtering: Product Similarity via Pearson Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(13518, 13518)\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>URL</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/valentino-valentino-garavani-open-sneakers-item-13563167.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/joseph-slim-fit-trousers-item-13558158.aspx</th>\n",
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       "      <th>https://www.farfetch.com/shopping/women/versace-il-tempio-printed-shirt-item-13577269.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/gucci-gg-marmont-matelasse-leather-super-mini-bag-item-12301550.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/uma-wang-reconstructed-dress-item-13937869.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/dolce-gabbana-love-beanie-hat-item-13274741.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/amapo-flared-jeans-item-12656634.aspx</th>\n",
       "      <th>...</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/gucci-kids-childrens-original-gg-canvas-hat-item-13681559.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/zanellato-medium-postina-tote-item-12280563.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/emporio-armani-logo-windbreaker-item-13857873.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/buffalo-tan-1339-classic-platform-sneakers-item-12608291.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/prada-turtleneck-fitted-jumper-item-13418237.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/max-mara-one-shoulder-jumpsuit-item-13851424.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/yuul-yie-mi-pump-slingback-strap-pumps-item-13063614.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/saint-laurent-monogram-wallet-on-chain-item-12332221.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/marsell-paraccia-hi-top-sneakers-item-13007717.aspx</th>\n",
       "      <th>https://www.farfetch.com/shopping/women/steffen-schraut-flared-denim-skirt-item-13700157.aspx</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>URL</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>https://www.farfetch.com/shopping/women/valentino-valentino-garavani-open-sneakers-item-13563167.aspx</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.980703</td>\n",
       "      <td>0.988200</td>\n",
       "      <td>0.988200</td>\n",
       "      <td>0.999793</td>\n",
       "      <td>0.999379</td>\n",
       "      <td>0.999998</td>\n",
       "      <td>0.999310</td>\n",
       "      <td>0.995137</td>\n",
       "      <td>0.990253</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999974</td>\n",
       "      <td>0.999997</td>\n",
       "      <td>0.999959</td>\n",
       "      <td>0.999977</td>\n",
       "      <td>0.999998</td>\n",
       "      <td>0.999866</td>\n",
       "      <td>0.994510</td>\n",
       "      <td>0.999998</td>\n",
       "      <td>0.998605</td>\n",
       "      <td>0.990342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://www.farfetch.com/shopping/women/joseph-slim-fit-trousers-item-13558158.aspx</th>\n",
       "      <td>0.980703</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999075</td>\n",
       "      <td>0.999075</td>\n",
       "      <td>0.984452</td>\n",
       "      <td>0.986965</td>\n",
       "      <td>0.980708</td>\n",
       "      <td>0.987279</td>\n",
       "      <td>0.995173</td>\n",
       "      <td>0.998368</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980622</td>\n",
       "      <td>0.980694</td>\n",
       "      <td>0.980645</td>\n",
       "      <td>0.980650</td>\n",
       "      <td>0.980715</td>\n",
       "      <td>0.983745</td>\n",
       "      <td>0.995769</td>\n",
       "      <td>0.980716</td>\n",
       "      <td>0.989642</td>\n",
       "      <td>0.998331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://www.farfetch.com/shopping/women/joseph-slim-fit-tank-top-item-13814471.aspx</th>\n",
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       "      <td>0.999075</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.991092</td>\n",
       "      <td>0.992969</td>\n",
       "      <td>0.988204</td>\n",
       "      <td>0.993200</td>\n",
       "      <td>0.998463</td>\n",
       "      <td>0.999899</td>\n",
       "      <td>...</td>\n",
       "      <td>0.988130</td>\n",
       "      <td>0.988193</td>\n",
       "      <td>0.988154</td>\n",
       "      <td>0.988158</td>\n",
       "      <td>0.988210</td>\n",
       "      <td>0.990555</td>\n",
       "      <td>0.998794</td>\n",
       "      <td>0.988210</td>\n",
       "      <td>0.994894</td>\n",
       "      <td>0.999890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://www.farfetch.com/shopping/women/joseph-scoop-neck-vest-top-item-13814472.aspx</th>\n",
       "      <td>0.988200</td>\n",
       "      <td>0.999075</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.988204</td>\n",
       "      <td>0.993200</td>\n",
       "      <td>0.998463</td>\n",
       "      <td>0.999899</td>\n",
       "      <td>...</td>\n",
       "      <td>0.988130</td>\n",
       "      <td>0.988193</td>\n",
       "      <td>0.988154</td>\n",
       "      <td>0.988158</td>\n",
       "      <td>0.988210</td>\n",
       "      <td>0.990555</td>\n",
       "      <td>0.998794</td>\n",
       "      <td>0.988210</td>\n",
       "      <td>0.994894</td>\n",
       "      <td>0.999890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://www.farfetch.com/shopping/women/lela-rose-bow-neck-short-dress-item-13500873.aspx</th>\n",
       "      <td>0.999793</td>\n",
       "      <td>0.984452</td>\n",
       "      <td>0.991092</td>\n",
       "      <td>0.991092</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.999857</td>\n",
       "      <td>0.996920</td>\n",
       "      <td>0.992862</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999762</td>\n",
       "      <td>0.999790</td>\n",
       "      <td>0.999756</td>\n",
       "      <td>0.999760</td>\n",
       "      <td>0.999796</td>\n",
       "      <td>0.999990</td>\n",
       "      <td>0.996416</td>\n",
       "      <td>0.999797</td>\n",
       "      <td>0.999467</td>\n",
       "      <td>0.992939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 13518 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "URL                                                 https://www.farfetch.com/shopping/women/valentino-valentino-garavani-open-sneakers-item-13563167.aspx  \\\n",
       "URL                                                                                                                                                         \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           1.000000                                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980703                                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988200                                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988200                                                       \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999793                                                       \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/joseph-slim-fit-trousers-item-13558158.aspx  \\\n",
       "URL                                                                                                                                       \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.980703                                     \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           1.000000                                     \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999075                                     \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999075                                     \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.984452                                     \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/joseph-slim-fit-tank-top-item-13814471.aspx  \\\n",
       "URL                                                                                                                                       \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.988200                                     \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999075                                     \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           1.000000                                     \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           1.000000                                     \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.991092                                     \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/joseph-scoop-neck-vest-top-item-13814472.aspx  \\\n",
       "URL                                                                                                                                         \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.988200                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999075                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           1.000000                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           1.000000                                       \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.991092                                       \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/lela-rose-bow-neck-short-dress-item-13500873.aspx  \\\n",
       "URL                                                                                                                                             \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999793                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.984452                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.991092                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.991092                                           \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           1.000000                                           \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/versace-il-tempio-printed-shirt-item-13577269.aspx  \\\n",
       "URL                                                                                                                                              \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999379                                            \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.986965                                            \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.992969                                            \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.992969                                            \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999887                                            \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/gucci-gg-marmont-matelasse-leather-super-mini-bag-item-12301550.aspx  \\\n",
       "URL                                                                                                                                                                \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999998                                                              \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980708                                                              \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988204                                                              \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988204                                                              \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999795                                                              \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/uma-wang-reconstructed-dress-item-13937869.aspx  \\\n",
       "URL                                                                                                                                           \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999310                                         \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.987279                                         \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.993200                                         \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.993200                                         \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999857                                         \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/dolce-gabbana-love-beanie-hat-item-13274741.aspx  \\\n",
       "URL                                                                                                                                            \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.995137                                          \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.995173                                          \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.998463                                          \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.998463                                          \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.996920                                          \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/amapo-flared-jeans-item-12656634.aspx  \\\n",
       "URL                                                                                                                                 \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.990253                               \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.998368                               \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999899                               \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999899                               \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.992862                               \n",
       "\n",
       "URL                                                                                             ...                                                \\\n",
       "URL                                                                                             ...                                                 \n",
       "https://www.farfetch.com/shopping/women/valenti...                                              ...                                                 \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                              ...                                                 \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                              ...                                                 \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                              ...                                                 \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                              ...                                                 \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/gucci-kids-childrens-original-gg-canvas-hat-item-13681559.aspx  \\\n",
       "URL                                                                                                                                                          \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999974                                                        \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980622                                                        \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988130                                                        \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988130                                                        \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999762                                                        \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/zanellato-medium-postina-tote-item-12280563.aspx  \\\n",
       "URL                                                                                                                                            \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999997                                          \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980694                                          \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988193                                          \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988193                                          \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999790                                          \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/emporio-armani-logo-windbreaker-item-13857873.aspx  \\\n",
       "URL                                                                                                                                              \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999959                                            \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980645                                            \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988154                                            \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988154                                            \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999756                                            \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/buffalo-tan-1339-classic-platform-sneakers-item-12608291.aspx  \\\n",
       "URL                                                                                                                                                         \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999977                                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980650                                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988158                                                       \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988158                                                       \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999760                                                       \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/prada-turtleneck-fitted-jumper-item-13418237.aspx  \\\n",
       "URL                                                                                                                                             \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999998                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980715                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988210                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988210                                           \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999796                                           \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/max-mara-one-shoulder-jumpsuit-item-13851424.aspx  \\\n",
       "URL                                                                                                                                             \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999866                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.983745                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.990555                                           \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.990555                                           \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999990                                           \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/yuul-yie-mi-pump-slingback-strap-pumps-item-13063614.aspx  \\\n",
       "URL                                                                                                                                                     \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.994510                                                   \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.995769                                                   \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.998794                                                   \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.998794                                                   \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.996416                                                   \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/saint-laurent-monogram-wallet-on-chain-item-12332221.aspx  \\\n",
       "URL                                                                                                                                                     \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.999998                                                   \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.980716                                                   \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988210                                                   \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.988210                                                   \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999797                                                   \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/marsell-paraccia-hi-top-sneakers-item-13007717.aspx  \\\n",
       "URL                                                                                                                                               \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.998605                                             \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.989642                                             \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.994894                                             \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.994894                                             \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.999467                                             \n",
       "\n",
       "URL                                                 https://www.farfetch.com/shopping/women/steffen-schraut-flared-denim-skirt-item-13700157.aspx  \n",
       "URL                                                                                                                                                \n",
       "https://www.farfetch.com/shopping/women/valenti...                                           0.990342                                              \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.998331                                              \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999890                                              \n",
       "https://www.farfetch.com/shopping/women/joseph-...                                           0.999890                                              \n",
       "https://www.farfetch.com/shopping/women/lela-ro...                                           0.992939                                              \n",
       "\n",
       "[5 rows x 13518 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation = ff.load_content_similarity_matrix(\"../Data/content_similarity_matrix_GMC.pkl\")\n",
    "print(correlation.shape)\n",
    "correlation.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Leather belt with double G buckle</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>460</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>15</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>platform sneakers</td>\n",
       "      <td>230</td>\n",
       "      <td>30</td>\n",
       "      <td>161</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Buffalo</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>13</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>1</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alphaedge 4D sneakers</td>\n",
       "      <td>317</td>\n",
       "      <td>0</td>\n",
       "      <td>317</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>10</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>white and black Pod S31 mesh sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>8</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>black, white and grey nite jogger leather snea...</td>\n",
       "      <td>147</td>\n",
       "      <td>0</td>\n",
       "      <td>147</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>logo label print T-shirt</td>\n",
       "      <td>643</td>\n",
       "      <td>0</td>\n",
       "      <td>643</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ace embroidered low-top sneaker</td>\n",
       "      <td>650</td>\n",
       "      <td>0</td>\n",
       "      <td>650</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Portofino sneakers</td>\n",
       "      <td>495</td>\n",
       "      <td>0</td>\n",
       "      <td>495</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Calabasas stripe print sweat pants</td>\n",
       "      <td>121</td>\n",
       "      <td>50</td>\n",
       "      <td>61</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GG Marmont matelassé leather super mini bag</td>\n",
       "      <td>890</td>\n",
       "      <td>0</td>\n",
       "      <td>890</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Bags</td>\n",
       "      <td>7</td>\n",
       "      <td>4.857143</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Interlocking G tights</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Devotion tote bag</td>\n",
       "      <td>1495</td>\n",
       "      <td>0</td>\n",
       "      <td>1495</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Bags</td>\n",
       "      <td>4</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>shell crossbody bag</td>\n",
       "      <td>22</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Bags</td>\n",
       "      <td>2</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>black crown logo print cotton t shirt</td>\n",
       "      <td>427</td>\n",
       "      <td>0</td>\n",
       "      <td>427</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lacombe SPZL Sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>2</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Predator Zidane football shirt</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>drawstring backpack</td>\n",
       "      <td>20</td>\n",
       "      <td>35</td>\n",
       "      <td>13</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Bags</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Product Original Discount  \\\n",
       "0                   Leather belt with double G buckle      460        0   \n",
       "1                                   platform sneakers      230       30   \n",
       "2                                 Tiger print T-shirt      160        0   \n",
       "3                               Alphaedge 4D sneakers      317        0   \n",
       "4               white and black Pod S31 mesh sneakers      103       50   \n",
       "5   black, white and grey nite jogger leather snea...      147        0   \n",
       "6                            logo label print T-shirt      643        0   \n",
       "7                     Ace embroidered low-top sneaker      650        0   \n",
       "8                                  Portofino sneakers      495        0   \n",
       "9                  Calabasas stripe print sweat pants      121       50   \n",
       "10        GG Marmont matelassé leather super mini bag      890        0   \n",
       "11                              Interlocking G tights      100        0   \n",
       "12                                  Devotion tote bag     1495        0   \n",
       "13                                shell crossbody bag       22       35   \n",
       "14              black crown logo print cotton t shirt      427        0   \n",
       "15                              Lacombe SPZL Sneakers      103       50   \n",
       "16                     Predator Zidane football shirt      103       50   \n",
       "17                                drawstring backpack       20       35   \n",
       "\n",
       "   On Sale Gender        Made In         Designer     Category Total Ratings  \\\n",
       "0      460  Women  Made in Italy            Gucci  Accessories            15   \n",
       "1      161  Women       Imported          Buffalo        Shoes            13   \n",
       "2      160    Men       Imported            Kenzo     Clothing            10   \n",
       "3      317    Men       Imported           Adidas        Shoes            10   \n",
       "4       52    Men       Imported           Adidas        Shoes             8   \n",
       "5      147    Men       Imported           Adidas        Shoes             5   \n",
       "6      643    Men  Made in Italy  Dolce & Gabbana     Clothing             4   \n",
       "7      650  Women  Made in Italy            Gucci        Shoes             5   \n",
       "8      495    Men  Made in Italy  Dolce & Gabbana        Shoes             5   \n",
       "9       61    Men       Imported           Adidas     Clothing            10   \n",
       "10     890  Women  Made in Italy            Gucci         Bags             7   \n",
       "11     100  Women  Made in Italy            Gucci     Clothing             2   \n",
       "12    1495  Women  Made in Italy  Dolce & Gabbana         Bags             4   \n",
       "13      15  Women       Imported           Adidas         Bags             2   \n",
       "14     427    Men       Imported  Dolce & Gabbana     Clothing             4   \n",
       "15      52    Men       Imported           Adidas        Shoes             2   \n",
       "16      52    Men       Imported           Adidas     Clothing             1   \n",
       "17      13  Women       Imported           Adidas         Bags             1   \n",
       "\n",
       "    Average Rating  User Rating                    Recommended By  \n",
       "0         4.800000            4               Most Rated Products  \n",
       "1         5.000000            4               Most Rated Products  \n",
       "2         4.700000            1               Most Rated Products  \n",
       "3         4.400000            2              Best One Subcategory  \n",
       "4         5.000000            5              Best One Subcategory  \n",
       "5         5.000000            3              Best One Subcategory  \n",
       "6         4.000000            1           Best Nine Subcategories  \n",
       "7         5.000000            1           Best Nine Subcategories  \n",
       "8         4.800000            3           Best Nine Subcategories  \n",
       "9         4.900000            2           Best Nine Subcategories  \n",
       "10        4.857143            2           Best Nine Subcategories  \n",
       "11        5.000000            2           Best Nine Subcategories  \n",
       "12        3.750000            3           Best Nine Subcategories  \n",
       "13        3.000000            5           Best Nine Subcategories  \n",
       "14        5.000000            1           Best Nine Subcategories  \n",
       "15        4.000000            1  Content-Based Pearson Similarity  \n",
       "16        5.000000            1  Content-Based Pearson Similarity  \n",
       "17        5.000000            3  Content-Based Pearson Similarity  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(3):\n",
    "    ff.content_based_similarity()\n",
    "    ff.update_last_rating(np.random.randint(low=1, high=6))\n",
    "    \n",
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Collaborative Filtering: Matrix Factorization via Singular Value Decomposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.7810119948552539, {'n_factors': 10, 'reg_all': 0.1})"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "param_grid = {'n_factors': [10,  20,  50,  100],\n",
    "              'reg_all':   [0.1, 0.2, 0.4, 0.6]}\n",
    "gs_best    = ff.grid_search_singular_value_decomposition(param_grid)\n",
    "gs_best"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Leather belt with double G buckle</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>460</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>15</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>platform sneakers</td>\n",
       "      <td>230</td>\n",
       "      <td>30</td>\n",
       "      <td>161</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Buffalo</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>13</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>1</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alphaedge 4D sneakers</td>\n",
       "      <td>317</td>\n",
       "      <td>0</td>\n",
       "      <td>317</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>10</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>white and black Pod S31 mesh sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>8</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>black, white and grey nite jogger leather snea...</td>\n",
       "      <td>147</td>\n",
       "      <td>0</td>\n",
       "      <td>147</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>logo label print T-shirt</td>\n",
       "      <td>643</td>\n",
       "      <td>0</td>\n",
       "      <td>643</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ace embroidered low-top sneaker</td>\n",
       "      <td>650</td>\n",
       "      <td>0</td>\n",
       "      <td>650</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Portofino sneakers</td>\n",
       "      <td>495</td>\n",
       "      <td>0</td>\n",
       "      <td>495</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Calabasas stripe print sweat pants</td>\n",
       "      <td>121</td>\n",
       "      <td>50</td>\n",
       "      <td>61</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GG Marmont matelassé leather super mini bag</td>\n",
       "      <td>890</td>\n",
       "      <td>0</td>\n",
       "      <td>890</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Bags</td>\n",
       "      <td>7</td>\n",
       "      <td>4.857143</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Interlocking G tights</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Devotion tote bag</td>\n",
       "      <td>1495</td>\n",
       "      <td>0</td>\n",
       "      <td>1495</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Bags</td>\n",
       "      <td>4</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>shell crossbody bag</td>\n",
       "      <td>22</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Bags</td>\n",
       "      <td>2</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>black crown logo print cotton t shirt</td>\n",
       "      <td>427</td>\n",
       "      <td>0</td>\n",
       "      <td>427</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lacombe SPZL Sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>2</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Predator Zidane football shirt</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>drawstring backpack</td>\n",
       "      <td>20</td>\n",
       "      <td>35</td>\n",
       "      <td>13</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Bags</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>white Workout Lo Plus low-top leather sneakers</td>\n",
       "      <td>105</td>\n",
       "      <td>30</td>\n",
       "      <td>74</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Reebok</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>classic logo polo top</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>70</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Polo Ralph Lauren</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>x Ispa React sneakers</td>\n",
       "      <td>169</td>\n",
       "      <td>35</td>\n",
       "      <td>110</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Nike</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>7</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>135</td>\n",
       "      <td>0</td>\n",
       "      <td>135</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>embellished buttons T-shirt</td>\n",
       "      <td>288</td>\n",
       "      <td>15</td>\n",
       "      <td>245</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Balmain</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Half-moon shoulder bag</td>\n",
       "      <td>340</td>\n",
       "      <td>0</td>\n",
       "      <td>340</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>A.P.C.</td>\n",
       "      <td>Bags</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Continental leopard print low-top sneakers</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>173</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>white Falcon perforated leather sneakers</td>\n",
       "      <td>133</td>\n",
       "      <td>50</td>\n",
       "      <td>67</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>4</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Samba sneakers</td>\n",
       "      <td>121</td>\n",
       "      <td>50</td>\n",
       "      <td>61</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Product Original Discount  \\\n",
       "0                   Leather belt with double G buckle      460        0   \n",
       "1                                   platform sneakers      230       30   \n",
       "2                                 Tiger print T-shirt      160        0   \n",
       "3                               Alphaedge 4D sneakers      317        0   \n",
       "4               white and black Pod S31 mesh sneakers      103       50   \n",
       "5   black, white and grey nite jogger leather snea...      147        0   \n",
       "6                            logo label print T-shirt      643        0   \n",
       "7                     Ace embroidered low-top sneaker      650        0   \n",
       "8                                  Portofino sneakers      495        0   \n",
       "9                  Calabasas stripe print sweat pants      121       50   \n",
       "10        GG Marmont matelassé leather super mini bag      890        0   \n",
       "11                              Interlocking G tights      100        0   \n",
       "12                                  Devotion tote bag     1495        0   \n",
       "13                                shell crossbody bag       22       35   \n",
       "14              black crown logo print cotton t shirt      427        0   \n",
       "15                              Lacombe SPZL Sneakers      103       50   \n",
       "16                     Predator Zidane football shirt      103       50   \n",
       "17                                drawstring backpack       20       35   \n",
       "18     white Workout Lo Plus low-top leather sneakers      105       30   \n",
       "19                              classic logo polo top      100       30   \n",
       "20                              x Ispa React sneakers      169       35   \n",
       "21                                Tiger print T-shirt      135        0   \n",
       "22                        embellished buttons T-shirt      288       15   \n",
       "23                             Half-moon shoulder bag      340        0   \n",
       "24         Continental leopard print low-top sneakers      173        0   \n",
       "25           white Falcon perforated leather sneakers      133       50   \n",
       "26                                     Samba sneakers      121       50   \n",
       "\n",
       "   On Sale Gender        Made In           Designer     Category  \\\n",
       "0      460  Women  Made in Italy              Gucci  Accessories   \n",
       "1      161  Women       Imported            Buffalo        Shoes   \n",
       "2      160    Men       Imported              Kenzo     Clothing   \n",
       "3      317    Men       Imported             Adidas        Shoes   \n",
       "4       52    Men       Imported             Adidas        Shoes   \n",
       "5      147    Men       Imported             Adidas        Shoes   \n",
       "6      643    Men  Made in Italy    Dolce & Gabbana     Clothing   \n",
       "7      650  Women  Made in Italy              Gucci        Shoes   \n",
       "8      495    Men  Made in Italy    Dolce & Gabbana        Shoes   \n",
       "9       61    Men       Imported             Adidas     Clothing   \n",
       "10     890  Women  Made in Italy              Gucci         Bags   \n",
       "11     100  Women  Made in Italy              Gucci     Clothing   \n",
       "12    1495  Women  Made in Italy    Dolce & Gabbana         Bags   \n",
       "13      15  Women       Imported             Adidas         Bags   \n",
       "14     427    Men       Imported    Dolce & Gabbana     Clothing   \n",
       "15      52    Men       Imported             Adidas        Shoes   \n",
       "16      52    Men       Imported             Adidas     Clothing   \n",
       "17      13  Women       Imported             Adidas         Bags   \n",
       "18      74  Women       Imported             Reebok        Shoes   \n",
       "19      70    Men       Imported  Polo Ralph Lauren     Clothing   \n",
       "20     110    Men       Imported               Nike        Shoes   \n",
       "21     135    Men       Imported              Kenzo     Clothing   \n",
       "22     245  Women       Imported            Balmain     Clothing   \n",
       "23     340  Women       Imported             A.P.C.         Bags   \n",
       "24     173  Women       Imported             Adidas        Shoes   \n",
       "25      67  Women       Imported             Adidas        Shoes   \n",
       "26      61    Men       Imported             Adidas        Shoes   \n",
       "\n",
       "   Total Ratings  Average Rating  User Rating  \\\n",
       "0             15        4.800000            4   \n",
       "1             13        5.000000            4   \n",
       "2             10        4.700000            1   \n",
       "3             10        4.400000            2   \n",
       "4              8        5.000000            5   \n",
       "5              5        5.000000            3   \n",
       "6              4        4.000000            1   \n",
       "7              5        5.000000            1   \n",
       "8              5        4.800000            3   \n",
       "9             10        4.900000            2   \n",
       "10             7        4.857143            2   \n",
       "11             2        5.000000            2   \n",
       "12             4        3.750000            3   \n",
       "13             2        3.000000            5   \n",
       "14             4        5.000000            1   \n",
       "15             2        4.000000            1   \n",
       "16             1        5.000000            1   \n",
       "17             1        5.000000            3   \n",
       "18             5        5.000000            4   \n",
       "19             2        5.000000            5   \n",
       "20             7        5.000000            1   \n",
       "21             5        5.000000            5   \n",
       "22             5        5.000000            5   \n",
       "23             5        5.000000            2   \n",
       "24             5        5.000000            1   \n",
       "25             4        5.000000            2   \n",
       "26             2        5.000000            3   \n",
       "\n",
       "                      Recommended By  \n",
       "0                Most Rated Products  \n",
       "1                Most Rated Products  \n",
       "2                Most Rated Products  \n",
       "3               Best One Subcategory  \n",
       "4               Best One Subcategory  \n",
       "5               Best One Subcategory  \n",
       "6            Best Nine Subcategories  \n",
       "7            Best Nine Subcategories  \n",
       "8            Best Nine Subcategories  \n",
       "9            Best Nine Subcategories  \n",
       "10           Best Nine Subcategories  \n",
       "11           Best Nine Subcategories  \n",
       "12           Best Nine Subcategories  \n",
       "13           Best Nine Subcategories  \n",
       "14           Best Nine Subcategories  \n",
       "15  Content-Based Pearson Similarity  \n",
       "16  Content-Based Pearson Similarity  \n",
       "17  Content-Based Pearson Similarity  \n",
       "18      Singular Value Decomposition  \n",
       "19      Singular Value Decomposition  \n",
       "20      Singular Value Decomposition  \n",
       "21      Singular Value Decomposition  \n",
       "22      Singular Value Decomposition  \n",
       "23      Singular Value Decomposition  \n",
       "24      Singular Value Decomposition  \n",
       "25      Singular Value Decomposition  \n",
       "26      Singular Value Decomposition  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(9):\n",
    "    n_factors = gs_best[1]['n_factors']\n",
    "    reg_all   = gs_best[1]['reg_all']\n",
    "    ff.singular_value_decomposition(n_factors, reg_all)\n",
    "    ff.update_last_rating(np.random.randint(low=1, high=6))\n",
    "    \n",
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Leather belt with double G buckle</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>460</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>15</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>platform sneakers</td>\n",
       "      <td>230</td>\n",
       "      <td>30</td>\n",
       "      <td>161</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Buffalo</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>13</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1</td>\n",
       "      <td>Most Rated Products</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Product Original Discount On Sale Gender  \\\n",
       "0  Leather belt with double G buckle      460        0     460  Women   \n",
       "1                  platform sneakers      230       30     161  Women   \n",
       "2                Tiger print T-shirt      160        0     160    Men   \n",
       "\n",
       "         Made In Designer     Category Total Ratings  Average Rating  \\\n",
       "0  Made in Italy    Gucci  Accessories            15             4.8   \n",
       "1       Imported  Buffalo        Shoes            13             5.0   \n",
       "2       Imported    Kenzo     Clothing            10             4.7   \n",
       "\n",
       "   User Rating       Recommended By  \n",
       "0            4  Most Rated Products  \n",
       "1            4  Most Rated Products  \n",
       "2            1  Most Rated Products  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)[0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alphaedge 4D sneakers</td>\n",
       "      <td>317</td>\n",
       "      <td>0</td>\n",
       "      <td>317</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>10</td>\n",
       "      <td>4.4</td>\n",
       "      <td>2</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>white and black Pod S31 mesh sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>black, white and grey nite jogger leather snea...</td>\n",
       "      <td>147</td>\n",
       "      <td>0</td>\n",
       "      <td>147</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Best One Subcategory</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Product Original Discount  \\\n",
       "3                              Alphaedge 4D sneakers      317        0   \n",
       "4              white and black Pod S31 mesh sneakers      103       50   \n",
       "5  black, white and grey nite jogger leather snea...      147        0   \n",
       "\n",
       "  On Sale Gender   Made In Designer Category Total Ratings  Average Rating  \\\n",
       "3     317    Men  Imported   Adidas    Shoes            10             4.4   \n",
       "4      52    Men  Imported   Adidas    Shoes             8             5.0   \n",
       "5     147    Men  Imported   Adidas    Shoes             5             5.0   \n",
       "\n",
       "   User Rating        Recommended By  \n",
       "3            2  Best One Subcategory  \n",
       "4            5  Best One Subcategory  \n",
       "5            3  Best One Subcategory  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)[3:6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
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       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>logo label print T-shirt</td>\n",
       "      <td>643</td>\n",
       "      <td>0</td>\n",
       "      <td>643</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ace embroidered low-top sneaker</td>\n",
       "      <td>650</td>\n",
       "      <td>0</td>\n",
       "      <td>650</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Portofino sneakers</td>\n",
       "      <td>495</td>\n",
       "      <td>0</td>\n",
       "      <td>495</td>\n",
       "      <td>Men</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Calabasas stripe print sweat pants</td>\n",
       "      <td>121</td>\n",
       "      <td>50</td>\n",
       "      <td>61</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>10</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GG Marmont matelassé leather super mini bag</td>\n",
       "      <td>890</td>\n",
       "      <td>0</td>\n",
       "      <td>890</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Bags</td>\n",
       "      <td>7</td>\n",
       "      <td>4.857143</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Interlocking G tights</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Devotion tote bag</td>\n",
       "      <td>1495</td>\n",
       "      <td>0</td>\n",
       "      <td>1495</td>\n",
       "      <td>Women</td>\n",
       "      <td>Made in Italy</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Bags</td>\n",
       "      <td>4</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>3</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>shell crossbody bag</td>\n",
       "      <td>22</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Bags</td>\n",
       "      <td>2</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>black crown logo print cotton t shirt</td>\n",
       "      <td>427</td>\n",
       "      <td>0</td>\n",
       "      <td>427</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Dolce &amp; Gabbana</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Best Nine Subcategories</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Product Original Discount On Sale  \\\n",
       "6                      logo label print T-shirt      643        0     643   \n",
       "7               Ace embroidered low-top sneaker      650        0     650   \n",
       "8                            Portofino sneakers      495        0     495   \n",
       "9            Calabasas stripe print sweat pants      121       50      61   \n",
       "10  GG Marmont matelassé leather super mini bag      890        0     890   \n",
       "11                        Interlocking G tights      100        0     100   \n",
       "12                            Devotion tote bag     1495        0    1495   \n",
       "13                          shell crossbody bag       22       35      15   \n",
       "14        black crown logo print cotton t shirt      427        0     427   \n",
       "\n",
       "   Gender        Made In         Designer  Category Total Ratings  \\\n",
       "6     Men  Made in Italy  Dolce & Gabbana  Clothing             4   \n",
       "7   Women  Made in Italy            Gucci     Shoes             5   \n",
       "8     Men  Made in Italy  Dolce & Gabbana     Shoes             5   \n",
       "9     Men       Imported           Adidas  Clothing            10   \n",
       "10  Women  Made in Italy            Gucci      Bags             7   \n",
       "11  Women  Made in Italy            Gucci  Clothing             2   \n",
       "12  Women  Made in Italy  Dolce & Gabbana      Bags             4   \n",
       "13  Women       Imported           Adidas      Bags             2   \n",
       "14    Men       Imported  Dolce & Gabbana  Clothing             4   \n",
       "\n",
       "    Average Rating  User Rating           Recommended By  \n",
       "6         4.000000            1  Best Nine Subcategories  \n",
       "7         5.000000            1  Best Nine Subcategories  \n",
       "8         4.800000            3  Best Nine Subcategories  \n",
       "9         4.900000            2  Best Nine Subcategories  \n",
       "10        4.857143            2  Best Nine Subcategories  \n",
       "11        5.000000            2  Best Nine Subcategories  \n",
       "12        3.750000            3  Best Nine Subcategories  \n",
       "13        3.000000            5  Best Nine Subcategories  \n",
       "14        5.000000            1  Best Nine Subcategories  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)[6:15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lacombe SPZL Sneakers</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Predator Zidane football shirt</td>\n",
       "      <td>103</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>drawstring backpack</td>\n",
       "      <td>20</td>\n",
       "      <td>35</td>\n",
       "      <td>13</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Bags</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Content-Based Pearson Similarity</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Product Original Discount On Sale Gender   Made In  \\\n",
       "15           Lacombe SPZL Sneakers      103       50      52    Men  Imported   \n",
       "16  Predator Zidane football shirt      103       50      52    Men  Imported   \n",
       "17             drawstring backpack       20       35      13  Women  Imported   \n",
       "\n",
       "   Designer  Category Total Ratings  Average Rating  User Rating  \\\n",
       "15   Adidas     Shoes             2             4.0            1   \n",
       "16   Adidas  Clothing             1             5.0            1   \n",
       "17   Adidas      Bags             1             5.0            3   \n",
       "\n",
       "                      Recommended By  \n",
       "15  Content-Based Pearson Similarity  \n",
       "16  Content-Based Pearson Similarity  \n",
       "17  Content-Based Pearson Similarity  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)[15:18]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Original</th>\n",
       "      <th>Discount</th>\n",
       "      <th>On Sale</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Made In</th>\n",
       "      <th>Designer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Total Ratings</th>\n",
       "      <th>Average Rating</th>\n",
       "      <th>User Rating</th>\n",
       "      <th>Recommended By</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>white Workout Lo Plus low-top leather sneakers</td>\n",
       "      <td>105</td>\n",
       "      <td>30</td>\n",
       "      <td>74</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Reebok</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>classic logo polo top</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>70</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Polo Ralph Lauren</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>x Ispa React sneakers</td>\n",
       "      <td>169</td>\n",
       "      <td>35</td>\n",
       "      <td>110</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Nike</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>7</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Tiger print T-shirt</td>\n",
       "      <td>135</td>\n",
       "      <td>0</td>\n",
       "      <td>135</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Kenzo</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>embellished buttons T-shirt</td>\n",
       "      <td>288</td>\n",
       "      <td>15</td>\n",
       "      <td>245</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Balmain</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Half-moon shoulder bag</td>\n",
       "      <td>340</td>\n",
       "      <td>0</td>\n",
       "      <td>340</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>A.P.C.</td>\n",
       "      <td>Bags</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Continental leopard print low-top sneakers</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>173</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>white Falcon perforated leather sneakers</td>\n",
       "      <td>133</td>\n",
       "      <td>50</td>\n",
       "      <td>67</td>\n",
       "      <td>Women</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Samba sneakers</td>\n",
       "      <td>121</td>\n",
       "      <td>50</td>\n",
       "      <td>61</td>\n",
       "      <td>Men</td>\n",
       "      <td>Imported</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>Shoes</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Singular Value Decomposition</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Product Original Discount On Sale  \\\n",
       "18  white Workout Lo Plus low-top leather sneakers      105       30      74   \n",
       "19                           classic logo polo top      100       30      70   \n",
       "20                           x Ispa React sneakers      169       35     110   \n",
       "21                             Tiger print T-shirt      135        0     135   \n",
       "22                     embellished buttons T-shirt      288       15     245   \n",
       "23                          Half-moon shoulder bag      340        0     340   \n",
       "24      Continental leopard print low-top sneakers      173        0     173   \n",
       "25        white Falcon perforated leather sneakers      133       50      67   \n",
       "26                                  Samba sneakers      121       50      61   \n",
       "\n",
       "   Gender   Made In           Designer  Category Total Ratings  \\\n",
       "18  Women  Imported             Reebok     Shoes             5   \n",
       "19    Men  Imported  Polo Ralph Lauren  Clothing             2   \n",
       "20    Men  Imported               Nike     Shoes             7   \n",
       "21    Men  Imported              Kenzo  Clothing             5   \n",
       "22  Women  Imported            Balmain  Clothing             5   \n",
       "23  Women  Imported             A.P.C.      Bags             5   \n",
       "24  Women  Imported             Adidas     Shoes             5   \n",
       "25  Women  Imported             Adidas     Shoes             4   \n",
       "26    Men  Imported             Adidas     Shoes             2   \n",
       "\n",
       "    Average Rating  User Rating                Recommended By  \n",
       "18             5.0            4  Singular Value Decomposition  \n",
       "19             5.0            5  Singular Value Decomposition  \n",
       "20             5.0            1  Singular Value Decomposition  \n",
       "21             5.0            5  Singular Value Decomposition  \n",
       "22             5.0            5  Singular Value Decomposition  \n",
       "23             5.0            2  Singular Value Decomposition  \n",
       "24             5.0            1  Singular Value Decomposition  \n",
       "25             5.0            2  Singular Value Decomposition  \n",
       "26             5.0            3  Singular Value Decomposition  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff.recommender_system.recommender_history.drop(['URL'], axis=1)[18:27]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://www.farfetch.com/shopping/women/gucci-leather-belt-with-double-g-buckle-item-12132461.aspx\n",
      "https://www.farfetch.com/shopping/women/buffalo-platform-sneakers-item-12971255.aspx\n",
      "https://www.farfetch.com/shopping/women/kenzo-tiger-print-t-shirt-item-13283300.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-alphaedge-4d-sneakers-item-13655756.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-white-and-black-pod-s31-mesh-sneakers-item-13348208.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-black-white-and-grey-nite-jogger-leather-sneakers-item-13655790.aspx\n",
      "https://www.farfetch.com/shopping/women/dolce-gabbana-logo-label-print-t-shirt-item-13518817.aspx\n",
      "https://www.farfetch.com/shopping/women/gucci-ace-embroidered-low-top-sneaker-item-12156637.aspx\n",
      "https://www.farfetch.com/shopping/women/dolce-gabbana-portofino-sneakers-item-13266013.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-calabasas-stripe-print-sweat-pants-item-13497529.aspx\n",
      "https://www.farfetch.com/shopping/women/gucci-gg-marmont-matelasse-leather-super-mini-bag-item-12331477.aspx\n",
      "https://www.farfetch.com/shopping/women/gucci-interlocking-g-tights-item-12789787.aspx\n",
      "https://www.farfetch.com/shopping/women/dolce-gabbana-devotion-tote-bag-item-13736321.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-shell-crossbody-bag-item-13631450.aspx\n",
      "https://www.farfetch.com/shopping/women/dolce-gabbana-black-crown-logo-print-cotton-t-shirt-item-12989113.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-lacombe-spzl-sneakers-item-13348210.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-predator-zidane-football-shirt-item-13343769.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-drawstring-backpack-item-13631453.aspx\n",
      "https://www.farfetch.com/shopping/women/reebok-white-workout-lo-plus-low-top-leather-sneakers-item-13497415.aspx\n",
      "https://www.farfetch.com/shopping/women/polo-ralph-lauren-classic-logo-polo-top-item-13596300.aspx\n",
      "https://www.farfetch.com/shopping/women/nike-x-ispa-react-sneakers-item-13801026.aspx\n",
      "https://www.farfetch.com/shopping/women/kenzo-tiger-print-t-shirt-item-13512944.aspx\n",
      "https://www.farfetch.com/shopping/women/balmain-embellished-buttons-t-shirt-item-13516007.aspx\n",
      "https://www.farfetch.com/shopping/women/apc-half-moon-shoulder-bag-item-13076167.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-continental-leopard-print-low-top-sneakers-item-13509333.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-white-falcon-perforated-leather-sneakers-item-13509421.aspx\n",
      "https://www.farfetch.com/shopping/women/adidas-samba-sneakers-item-13651243.aspx\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(ff.recommender_system.recommender_history['URL'])):\n",
    "    print(ff.recommender_system.recommender_history['URL'][i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "display_name": "Python 3",
   "language": "python",
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    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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