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Channel-Enhanced Contrastive Cross-Domain Sequential Recommendation

Abstract Sequential recommendation help users find interesting items by modeling the dynamic user-item interaction sequences. Due to the data sparseness problem, cross-domain sequential recommendation (CDSR) are proposed. CDSR explore rich data from a source domain to improve performance of the targ...

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Principais autores: Liu Yufang, Wang Shaoqing, Li Keke, Li Xueting, Sun Fuzhen
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2024-06-01
Serier:Data Science and Engineering
Fag:
Cross-domain sequential recommendation
Contrastive learning
Convolutional neural networks
Online adgang:https://doi.org/10.1007/s41019-024-00250-1
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