A Bayesian latent variable model of user preferences with item context

• Main Authors: SALAH, Aghiles, LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Machine Learning; Learning Preferences or Rankings; Recommender Systems; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/4241; https://ink.library.smu.edu.sg/context/sis_research/article/5244/viewcontent/0370.pdf
• Institution: Singapore Management University

Personalized recommendation has proven to be very promising in modeling the preference of users over items. However, most existing work in this context focuses primarily on modeling user-item interactions, which tend to be very sparse. We propose to further leverage the item-item relationships that...