Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks

The aim of explainable recommendation is not only to provide recommended items to users, but also to make users aware of why these items are recommended. Traditional recommendation methods infer user preferences for items using user–item rating information. However, the expressive power of latent re...

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Detalles Bibliográficos
Autores principales: Zuo, Xianglin, Jia, Tianhao, He, Xin, Yang, Bo, Wang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778359/
https://www.ncbi.nlm.nih.gov/pubmed/36554126
http://dx.doi.org/10.3390/e24121718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778359/
https://www.ncbi.nlm.nih.gov/pubmed/36554126
http://dx.doi.org/10.3390/e24121718

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