Self-supervised global context graph neural network for session-based recommendation

Session-based recommendation (SBR) aims to recommend the next items based on anonymous behavior sequences over a short period of time. Compared with other recommendation paradigms, the information available in SBR is very limited. Therefore, capturing the item relations across sessions is crucial fo...

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Detalles Bibliográficos
Autores principales: Chu, Fei, Jia, Caiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454781/
https://www.ncbi.nlm.nih.gov/pubmed/36092007
http://dx.doi.org/10.7717/peerj-cs.1055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454781/
https://www.ncbi.nlm.nih.gov/pubmed/36092007
http://dx.doi.org/10.7717/peerj-cs.1055

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