RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering

Abstract

Heterogeneous one-class collaborative filtering (HOCCF) is a recently studied important recommendation problem, which consists of different types of users’ one-class feedback such as browses and purchases. In HOCCF, we aim to fully exploit the heterogenous feedback and learn users’ preferences so as to make a personalized and ranking-oriented recommendation… (More)

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