Personal Interest Attention Graph Neural Networks for Session-Based Recommendation

Session-based recommendations aim to predict a user’s next click based on the user’s current and historical sessions, which can be applied to shopping websites and APPs. Existing session-based recommendation methods cannot accurately capture the complex transitions between items. In addition, some a...

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Detalles Bibliográficos
Autores principales: Zhang, Xiangde, Zhou, Yuan, Wang, Jianping, Lu, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618736/
https://www.ncbi.nlm.nih.gov/pubmed/34828197
http://dx.doi.org/10.3390/e23111500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618736/
https://www.ncbi.nlm.nih.gov/pubmed/34828197
http://dx.doi.org/10.3390/e23111500

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