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Knowledge-Aware Multispace Embedding Learning for Personalized Recommendation

Recommender systems help users filter items they may be interested in from massive multimedia content to alleviate information overload. Collaborative filtering-based models perform recommendation relying on users’ historical interactions, which meets great difficulty in modeling users’ interests wi...

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Detalles Bibliográficos
Autores principales:	Jian, Meng, Zhang, Chenlin, Fu, Xin, Wu, Lifang, Wang, Zhangquan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954710/ https://www.ncbi.nlm.nih.gov/pubmed/35336383 http://dx.doi.org/10.3390/s22062212

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