Deep Learning and Embedding Based Latent Factor Model for Collaborative Recommender Systems

Deep Learning and Embedding Based Latent Factor Model for Collaborative Recommender Systems

A collaborative recommender system based on a latent factor model has achieved significant success in the field of personalized recommender systems. However, the latent factor model suffers from sparsity problems. It is also limited in its ability to extract non-linear data features, resulting in po...

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Bibliographic Details
Main Authors: Abebe Tegene, Qiao Liu, Yanglei Gan, Tingting Dai, Habte Leka, Melak Ayenew
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
deep learning
latent factors
collaborative filtering
recommender systems
Online Access:https://www.mdpi.com/2076-3417/13/2/726

Internet

https://www.mdpi.com/2076-3417/13/2/726

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