All-For-Recommendation

What You Want Is What We Want to Recommend

Conference会议

• SIGKDD ACM Knowledge Discovery and Data Mining
  出版社：ACM
  http://dblp.uni-trier.de/db/conf/kdd/
  https://www.kdd.org/
  CCF(数据库/数据挖掘/内容检索)A类会议

• RecSys ACM Conference on Recommender Systems
  出版社：ACM
  https://dblp.uni-trier.de/db/conf/recsys/
  https://recsys.acm.org/
  但CCF未纳入

• SIGIR International Conference on Research on Development in Information Retrieval
  出版社：ACM
  http://dblp.uni-trier.de/db/conf/sigir/
  http://sigir.org/
  CCF(数据库/数据挖掘/内容检索)A类会议

• WWW International World Wide Web Conferences
  出版社：ACM
  http://dblp.uni-trier.de/db/conf/www/
  CCF(交叉/综合/新兴)A类会议

• ICML International Conference on Machine Learning
  出版社：ACM
  http://dblp.uni-trier.de/db/conf/icml/
  https://icml.cc/
  CCF(人工智能)A类会议

• ICDM International Conference on Data Mining
  出版社：IEEE
  http://dblp.uni-trier.de/db/conf/icdm/
  http://www.data-mining-forum.de/
  CCF(数据库/数据挖掘/内容检索)B类会议

• CIKM ACM International Conference on Information and Knowledge Management
  出版社：ACM
  http://dblp.uni-trier.de/db/conf/cikm/
  http://www.cikmconference.org/
  CCF(数据库/数据挖掘/内容检索)B类会议

• WSDM http://www.wsdm-conference.org/
  ACM International Conference on Web Search and Data Mining
  出版社：ACM
  http://dblp.uni-trier.de/db/conf/wsdm/
  http://www.wsdm-conference.org/
  CCF(数据库/数据挖掘/内容检索)B类会议

• AAAI AAAI Conference on Artificial Intelligence
  出版社：AAAI
  http://dblp.uni-trier.de/db/conf/aaai/
  https://aaai.org/
  CCF(人工智能)A类会议

• IJCAI International Joint Conference on Artificial Intelligence
  出版社：Morgan Kaufmann
  http://dblp.uni-trier.de/db/conf/ijcai/
  https://www.ijcai.org/
  CCF(人工智能)A类会议

Classic Paper经典论文

• Goldberg D, Nichols D, Oki B M, et al. Using collaborative filtering to weave an information tapestry[J]. Communications of the ACM, 1992, 35(12): 61-70.
  PDF

• Covington P, Adams J, Sargin E. Deep neural networks for youtube recommendations[C]//Proceedings of the 10th ACM conference on recommender systems. 2016: 191-198. PDF

• Linden G, Smith B, York J. Amazon. com recommendations: Item-to-item collaborative filtering[J]. IEEE Internet computing, 2003, 7(1): 76-80. PDF

• Koren Y, Bell R, Volinsky C. Matrix factorization techniques for recommender systems[J]. Computer, 2009, 42(8): 30-37. PDF

• Rendle S. Factorization machines[C]//2010 IEEE International Conference on Data Mining. IEEE, 2010: 995-1000. PDF

Frontier Paper前沿论文

由于篇幅过大，转移至 https://github.com/hubojing/All-For-Recommendation/blob/main/FrontierPaper.md

综述

• A Survey on Session-based Recommender Systems
• A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
• A Recommendation Systems for Tourism Based on Social Networks: A Survey
• Research Commentary on Recommendations with Side Information: A Survey and Research Directions
• A Survey on Conversational Recommender Systems
• Explainable Recommendation: A Survey and New Perspectives
• Sequential Recommender Systems: Challenges, Progress and Prospects
• A Survey on Knowledge Graph-Based Recommender Systems
• Deep Learning on Knowledge Graph for Recommender System: A Survey
• A survey on group recommender systems

Datasets数据集

• MovieLens https://grouplens.org/datasets/movielens/

• Book-Crossings http://www2.informatik.uni-freiburg.de/~cziegler/BX/

• Last.fm https://grouplens.org/datasets/hetrec-2011/

• Amazon product data https://jmcauley.ucsd.edu/data/amazon/

• googlelocal http://jmcauley.ucsd.edu/data/googlelocal/

• Yelp https://www.yelp.com/dataset

• SNAP https://snap.stanford.edu/data/

• criteo http://labs.criteo.com/2014/02/download-dataset/

其它资源

• 推荐系统项目 https://github.com/hubojing/Recommendation-Systems

• 推荐系统领域经典论文代码复现 https://github.com/hubojing/Code-For-Recommendation-Paper

• 兴趣点（POI）推荐 https://github.com/hubojing/POI-Recommendation