Concepts

• Item base
• User base
• Matrix Factorization
• Factorization Machine

Deep learning for recommendation system:

https://github.com/robi56/Deep-Learning-for-Recommendation-Systems

Blogs

• https://nycdatascience.com/blog/student-works/deep-learning-meets-recommendation-systems/
• ALS: https://medium.com/@victorkohler/als-implicit-collaborative-filtering-5ed653ba39fe
• http://danielnee.com/2016/09/collaborative-filtering-using-alternating-least-squares/
• Explicit ALS: https://blog.insightdatascience.com/explicit-matrix-factorization-als-sgd-and-all-that-jazz-b00e4d9b21ea
• Implicit ALS: https://medium.com/@victorkohler/als-implicit-collaborative-filtering-5ed653ba39fe

Feature factorization

• FM http://www.jefkine.com/recsys/2017/03/27/factorization-machines/
• FM https://www.csie.ntu.edu.tw/~b97053/paper/Rendle2010FM.pdf
• ALS: http://yifanhu.net/PUB/cf.pdf
• FFM: https://www.andrew.cmu.edu/user/yongzhua/conferences/ffm.pdf
• http://nowave.it/factorization-machines-with-tensorflow.html
• High order factorization https://arxiv.org/abs/1607.07195
• toutiao: http://mp.weixin.qq.com/s/DXPMZN9SwKTxI4roaQmeMw
• bayesian thompson sampling: http://tech.adroll.com/blog/data-science/2017/03/06/thompson-sampling-bayesian-factorization-machines.html
• Bayesian FM: https://analyticsconsultores.com.mx/wp-content/uploads/2019/03/Bayesian-Factorization-Machines-C.-Freudenthaler-L.-Schmidt-S.-Rendle.pdf

FTLR

• FTLR: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37013.pdf
• https://www.eecs.tufts.edu/~dsculley/papers/ad-click-prediction.pdf
• FOBOS: https://stanford.edu/~jduchi/projects/DuchiSi09c.pdf
• chinese on FTLR http://blog.csdn.net/china1000/article/details/51176654

Netflix winning solution

https://netflixprize.com/assets/GrandPrize2009_BPC_BellKor.pdf

Implementations

• xlearn: https://github.com/aksnzhy/xlearn/tree/master/python-package
• libfm
• ffm

Examples

• http://benanne.github.io/2014/08/05/spotify-cnns.html