A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis

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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Bibliographic Details
Main Authors: Shangzhi Guo, Xiaofeng Liao, Gang Li, Kaiyi Xian, Yuhang Li, Cheng Liang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Entropy
Subjects:
data science
deep neural network
Latent Feature Analysis
multi-metric recommender system
matrix representation
Online Access:https://www.mdpi.com/1099-4300/25/7/1062

Internet

https://www.mdpi.com/1099-4300/25/7/1062

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