Global Context Enhanced Graph Nerual Networks for Session-based Recommendation

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 169-178, 2020.

Cited by: 0|Bibtex|Views113|DOI:https://doi.org/10.1145/3397271.3401142
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences. Almost all the existing solutions for SBR model user preference only based on the current session without exploiting the other sessions, which may contain both relevant and irrelevant item-transitions to the cu...More

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