Adversarial Personalized Ranking for Recommendation

Preprint English OPEN
He, Xiangnan; He, Zhankui; Du, Xiaoyu; Chua, Tat-Seng;
  • Related identifiers: doi: 10.1145/3209978.3209981
  • Subject: Statistics - Machine Learning | Computer Science - Machine Learning | Computer Science - Information Retrieval

Item recommendation is a personalized ranking task. To this end, many recommender systems optimize models with pairwise ranking objectives, such as the Bayesian Personalized Ranking (BPR). Using matrix Factorization (MF) --- the most widely used model in recommendation ... View more
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