95 citations · 196 across the 9 of their papers we have counts for
3 papers · 1 filter
Modeling User Exposure in Recommendation
Dawen Liang, Laurent Charlin, James McInerney +1
Collaborative filtering analyzes user preferences for items (e.g., books, movies, restaurants, academic papers) by exploiting the similarity patterns across users. In implicit feed…
Dynamic Poisson Factorization
Laurent Charlin, Rajesh Ranganath, James McInerney +1
Models for recommender systems use latent factors to explain the preferences and behaviors of users with respect to a set of items (e.g., movies, books, academic papers). Typically…
The Population Posterior and Bayesian Inference on Streams
James McInerney, Rajesh Ranganath, David M. Blei
Many modern data analysis problems involve inferences from streaming data. However, streaming data is not easily amenable to the standard probabilistic modeling approaches, which a…