Efficient Graph Collaborative Filtering via Contrastive Learning

Collaborative filtering (CF) aims to make recommendations for users by detecting user’s preference from the historical user–item interactions. Existing graph neural networks (GNN) based methods achieve satisfactory performance by exploiting the high-order connectivity between users and items, howeve...

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Detalles Bibliográficos
Autores principales: Pan, Zhiqiang, Chen, Honghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309583/
https://www.ncbi.nlm.nih.gov/pubmed/34300404
http://dx.doi.org/10.3390/s21144666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309583/
https://www.ncbi.nlm.nih.gov/pubmed/34300404
http://dx.doi.org/10.3390/s21144666

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