Probabilistic Topic Model for Hybrid Recommender Systems: A Stochastic Variational Bayesian Approach

This paper proposes a novel covariate-guided heterogeneous supervised topic model for online movie recommendation and develops a stochastic variational Bayesian framework to achieve fast, scalable, and accurate estimation in big data settings.

• 저널Marketing Science · 37(6) · 987–1008
• 토픽Recommender Systems and Techniques · Information Systems
• DOI10.1287/mksc.2018.1113
• 저자Asim Ansari, Yang Li, Jonathan Z. Zhang