Enhanced Collaborative Filtering: Combining Autoencoder and Opposite User Inference to Solve Sparsity and Gray Sheep Issues

Enhanced Collaborative Filtering: Combining Autoencoder and Opposite User Inference to Solve Sparsity and Gray Sheep Issues

In recent years, the study of recommendation systems has become crucial, capturing the interest of scientists and academics worldwide. Music, books, movies, news, conferences, courses, and learning materials are some examples of using the recommender system. Among the various strategies employed, co...

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Bibliographic Details
Main Authors: Lamyae El Youbi El Idrissi, Ismail Akharraz, Aziza El Ouaazizi, Abdelaziz Ahaitouf
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Computers
Subjects:
collaborative filtering
deep learning
autoencoder
recommender system
sparsity
gray sheep
Online Access:https://www.mdpi.com/2073-431X/13/11/275
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