2017
Dynamic Collaborative Filtering With Compound Poisson Factorization
AISTATS 2017poster
Model-based collaborative filtering (CF) analyzes user–item interactions to infer latent factors that represent user preferences and item characteristics in order to predict future interactions. Most CF approaches assume that these latent factors are static; however, in most CF data, user preference…