A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis

A recommender system (RS) is highly efficient in extracting valuable information from a deluge of big data. The key issue of implementing an RS lies in uncovering users’ latent preferences on different items. Latent Feature Analysis (LFA) and deep neural networks (DNNs) are two of the most popular a...

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Detalles Bibliográficos
Autores principales: Guo, Shangzhi, Liao, Xiaofeng, Li, Gang, Xian, Kaiyi, Li, Yuhang, Liang, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378603/
https://www.ncbi.nlm.nih.gov/pubmed/37510009
http://dx.doi.org/10.3390/e25071062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378603/
https://www.ncbi.nlm.nih.gov/pubmed/37510009
http://dx.doi.org/10.3390/e25071062

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