A Bayesian recommender model for user rating and review profiling

• Main Authors: JIANG, Mingming, SONG, Dandan, LIAO, Lejian, ZHU, Feida
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: collaborative filtering; topic model; recommender system; matrix factorization; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3797; https://ink.library.smu.edu.sg/context/sis_research/article/4799/viewcontent/BaynesianRecommenderModelUserRat_2015.pdf
• Institution: Singapore Management University

Intuitively, not only do ratings include abundant information for learning user preferences, but also reviews accompanied by ratings. However, most existing recommender systems take rating scores for granted and discard the wealth of information in accompanying reviews. In this paper, in order to ex...