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推薦系統(Remmender System)學習筆記(二)--基於深度學習的推薦系統

關於session-based recommender system相關演算法以及論文筆記:

1.the item-to-item recommendation approach
《Item-based collaborative filtering recommendation algorithms》
《Amazon. com recommendations: Item-to-item collaborative filtering》

2.A somewhat different approach to session-based recommendation are Markov Decision Processes(MDPs)


 《An mdp-based recommender system》 

3.The extended version of the General Factorization Framework
 《General factorization framework for context-aware recommendations》

4.Restricted Boltzmann Machines (RBM)
《Restricted boltzmann machines for collaborative filtering》