An improved cross-domain sequential recommendation model based on intra-domain and inter-domain contrastive learning

Abstract Cross-domain recommendation aims to integrate data from multiple domains and introduce information from source domains, thereby achieving good recommendations on the target domain. Recently, contrastive learning has been introduced into the cross-domain recommendations and has obtained some...

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Principais autores:	Jianjun Ni, Tong Shen, Yonghao Zhao, Guangyi Tang, Yang Gu
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2024-08-01
Serija:	Complex & Intelligent Systems
Teme:	Cross-domain recommendation Contrastive learning Bias problem Sequential interaction
Online dostop:	https://doi.org/10.1007/s40747-024-01590-1
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