Representation learning for homophilic preferences

• Main Authors: NGUYEN, Trong T., LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: user preferences; homophily; representation learning; social recommendation; restricted Boltzmann machine; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3356; https://ink.library.smu.edu.sg/context/sis_research/article/4358/viewcontent/RepresentationLearning.pdf
• Institution: Singapore Management University

Users express their personal preferences through ratings, adoptions, and other consumption behaviors. We seek tolearn latent representations for user preferences from such behavioral data. One representation learning model that has been shown to be effective for large preference datasets is Restrict...