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Wu et al., 2019 - Google Patents

Session-based recommendation with graph neural networks

Wu et al., 2019

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Document ID
8373110290569759109
Author
Wu S
Tang Y
Zhu Y
Wang L
Xie X
Tan T
Publication year
Publication venue
Proceedings of the AAAI conference on artificial intelligence

External Links

Snippet

The problem of session-based recommendation aims to predict user actions based on anonymous sessions. Previous methods model a session as a sequence and estimate user representations besides item representations to make recommendations. Though achieved …
Continue reading at ojs.aaai.org (PDF) (other versions)

Classifications

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    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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