Addressing data sparsity and cold-start challenges in recommender systems using advanced deep learning and self-supervised learning techniques.

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Bibliographic Details
Title: Addressing data sparsity and cold-start challenges in recommender systems using advanced deep learning and self-supervised learning techniques.
Authors: Karabila, Ikram1, ikram.karabila@usmba.ac.ma, Darraz, Nossayba1, El-Ansari, Anas2, Alami, Nabil3, El Mallahi, Mostafa1
Source: Journal of Experimental & Theoretical Artificial Intelligence; Nov2025, Vol. 37 Issue 8, p1421-1451, 31p
Database: Applied Science & Technology Source
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ISSN:0952813X
DOI:10.1080/0952813X.2024.2401364