Learning personalized itemset mapping for cross-domain recommendation

Learning personalized itemset mapping for cross-domain recommendation

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...

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Bibliographic Details
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 Paper
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Machine Learning
Recommender Systems
Online Access:https://hdl.handle.net/10356/150977

Internet

https://hdl.handle.net/10356/150977

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