CPMR: context-aware incremental sequential recommendation with pseudo-multi-task learning

• Main Authors: Bian, Qingtian, Xu, Jiaxing, Fang, Hui, Ke, Yiping
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Recommender Systems; Incremental Recommendation; Context-Aware Recommendation; Graph Neural Networks; Pseudo-Multi-Task Learning
• Online Access: https://hdl.handle.net/10356/170988
• Institution: Nanyang Technological University

The motivations of users to make interactions can be divided into static preference and dynamic interest. To accurately model user representations over time, recent studies in sequential recommendation utilize information propagation and evolution to mine from batches of arriving interactions. Howev...