Conjugate-Prior-Regularized Multinomial pLSA for Collaborative Filtering
Collaborative filtering is a method for making predictions about consumer interests by collecting preferences or information about opinions from other consumers. For this purpose statistical modeling techniques are applied to learn personalized models for each consumer based on every purchase or provided rating to the available items. Such a technique is probabilistic Latent Semantic Analysis (pLS