ddoeunn.github.io

https://ddoeunn.github.io/

📝Matrix Factorization Methods for Item Recommendation from Implicit Feedback

• (1) Preliminaries - Problem setup and Notations / Matrix Factorization / Learning Objectives for Implicit Feedback
• (2) Matrix Factorization Methods for Implicit Feedback

📝Recommender System Paper Review

• Rendle, Steffen. 2010 “Factorization machines.”
• Juan, Yuchin, et al. 2016 “Field-aware factorization machines for CTR prediction.”
• Guo, Huifeng, et al. 2017 “DeepFM: a factorization-machine based neural network for CTR prediction.”
• Johnson, Christopher C. 2014 “Logistic matrix factorization for implicit feedback data.”
• Rendle, Steffen, et al. 2012 “BPR: Bayesian personalized ranking from implicit feedback”
• He, Xiangnan, et al. 2017 “Neural collaborative filtering.”
• Hu, Yifan, Yehuda Koren, et al. 2008 "Collaborative filtering for implicit feedback datasets."
• Pan, Rong, et al. 2008 “One-class collaborative filtering.”
• He, Ruining, and Julian McAuley. 2015 "VBPR: visual bayesian personalized ranking from implicit feedback."

📝Recommender System Summary

• Explicit feedback and Implicit feedback
• Evaluation of Recommender System Results