Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
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Author / Creator
Guo, Jiayan , Zhang, Peiyan , Li, Chaozhuo , Xie, Xing , Zhang, Yan and Kim, Sunghun
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Session-based recommendation (SBR) aims to predict the user next action based on the ongoing sessions. Recently, there has been an increasing interest in modeling the user preference evolution to capture the fine-grained user interests. While latent user preferences behind the sessions drift continuously over time, most existing approaches still mo...
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Full title
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
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Record Identifier
TN_cdi_proquest_journals_2681640157
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2681640157
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2206.12779