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Dataset: http://jmcauley.ucsd.edu/data/amazon/links.html

Study materials:

• Overview of Recommender Systems (Lecture 4): http://cseweb.ucsd.edu/classes/fa15/cse255-a/ and http://michael.hahsler.net/research/Recommender_SMU2011/slides/Recomm_2011.pdf
• Matrix Factorization Techniques: https://datajobs.com/data-science-repo/Recommender-Systems-%5BNetflix%5D.pdf
• BPR: http://www.algo.uni-konstanz.de/members/rendle/pdf/Rendle_et_al2009-Bayesian_Personalized_Ranking.pdf
• VBPR: http://cseweb.ucsd.edu/~jmcauley/pdfs/aaai16.pdf
• VBPR+Temporal: http://cseweb.ucsd.edu/~jmcauley/pdfs/www16a.pdf
• CAFFE: http://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf
• Item grouping: http://cseweb.ucsd.edu/~jmcauley/pdfs/sigir15.pdf

Links Simple matrix factorization in tensorflow: http://katbailey.github.io/post/from-both-sides-now-the-math-of-linear-regression/