Explainable AI and deep learning models for recommender systems: State of the art and challenges

Explainable AI and deep learning models for recommender systems: State of the art and challenges

Recommender systems have a pivotal function in delivering customized and pertinent suggestions to clients on the basis of their preferences and activities. The present paper presents a thorough overview of deep learning-based recommender systems, explores their application to enhance performance, an...

Full description

Saved in:
Bibliographic Details
Main Authors: Maroua Benleulmi, Ibtissem Gasmi, Nabiha Azizi, Nilanjan Dey
Format: Article
Language:English
Published: Graz University of Technology 2025-03-01
Series:Journal of Universal Computer Science
Subjects:
Recommender systems
deep learning
XAI
benchmark
Online Access:https://lib.jucs.org/article/122380/download/pdf/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://lib.jucs.org/article/122380/download/pdf/

Similar Items