Learning personalized itemset mapping for cross-domain recommendation

• Main Authors: Zhang, Yinan, Liu, Yong, Han, Peng, Miao, Chunyan, Cui, Lizhen, Li, Baoli, Tang, Haihong
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Machine Learning; Recommender Systems
• Online Access: https://hdl.handle.net/10356/150977
• Institution: Nanyang Technological University

Cross-domain recommendation methods usually transfer knowledge across different domains implicitly, by sharing model parameters or learning parameter mappings in the latent space. Differing from previous studies, this paper focuses on learning explicit mapping between a user's behaviors (i.e. i...