This paper explores high-order global information for session-based recommendation. We leverage prototype contrastive learning to learn the global item ...
Nov 20, 2020 · Abstract:Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences.
Abstract: Highlights•This paper explores high-order global information for session-based recommendation.•We leverage prototype contrastive learning to learn ...
Exploring global information for session-based recommendation
dl.acm.org › doi › j.patcog.2023.109911
Highlights · This paper explores high-order global information for session-based recommendation. · We leverage prototype contrastive learning to learn the ...
Jun 1, 2021 · Abstract—Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences.
May 12, 2023 · Session-based recommendation (SBR) aims to recommend items based on anonymous behavior sequences. However, most existing SBR approaches focus ...
Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences.
Exploring Global Information for Session-Based Recommendation. January 2023. DOI:10.2139/ssrn.4446023. Authors: Ziyang Wang at Huazhong University of Science ...
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Oct 14, 2021 · Bibliographic details on Exploring Global Information for Session-based Recommendation.