Bayesian Wishart matrix factorization
Data Min. Knowl. Discov., Volume 30, Issue 5, 2016, Pages 1166-1191.
Recommender systemsTemporal dynamicsMatrix factorization
User tastes are constantly drifting over time as users are exposed to different types of products. The ability to model the tendency of both user preferences and product attractiveness is vital to the success of recommender systems (RSs). We propose a Bayesian Wishart matrix factorization method to model the temporal dynamics of variation...More
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