Exploiting high-order behaviour patterns for cross-domain sequential recommendation

Exploiting high-order behaviour patterns for cross-domain sequential recommendation

The cross-domain sequential recommendation aims to predict the next item based on a sequence of recorded user behaviours in multiple domains. We propose a novel Cross-domain Sequential Recommendation approach with Graph-Collaborative Filtering (CsrGCF) to alleviate the sparsity issue of user-interac...

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Bibliographic Details
Main Authors: Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
cross-domain sequential recommendation
graph-collaborative filtering
data sparsity
graph attention mechanism
Online Access:http://dx.doi.org/10.1080/09540091.2022.2136141

Internet

http://dx.doi.org/10.1080/09540091.2022.2136141

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