Neighbor interaction-based personalised transfer for cross-domain recommendation

Neighbor interaction-based personalised transfer for cross-domain recommendation

Mapping-based cross-domain recommendation (CDR) can effectively tackle the cold-start problem in traditional recommender systems. However, existing mapping-based CDR methods ignore data-sparse users in the source domain, which may impact the transfer efficiency of their preferences. To this end, thi...

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Bibliographic Details
Main Authors: Kelei Sun, Yingying Wang, Mengqi He, Huaping Zhou, Shunxiang Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Connection Science
Subjects:
cross-domain recommendation
data sparsity
attention mechanism
meta-learning
cold-start users
Online Access:http://dx.doi.org/10.1080/09540091.2023.2263664
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http://dx.doi.org/10.1080/09540091.2023.2263664

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