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

Abstract

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.