Dual-view preference learning for adaptive recommendation

• Main Authors: LIU, Zhongzhou, FANG, Yuan, WU, Min
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Adaptation models; Adaptive models; Data models; dual-view user preferences; Electronic commerce; Motion pictures; Noise measurement; personalized recommendation systems; Recommender systems; Semantics; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/7766; https://ink.library.smu.edu.sg/context/sis_research/article/8769/viewcontent/Dual_View_av.pdf
• Institution: Singapore Management University

While recommendation systems have been widely deployed, most existing approaches only capture user preferences in the , i.e., the user's general interest across all kinds of items. However, in real-world scenarios, user preferences could vary with items of different natures, which we call the ....