autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Factorization. - Abdelghani Azri; Adil Haddi; Hakim Allali (SADASC, 2022)

Towards Improving Accuracy and Computation Cost Optimization of Recommendation Systems. - Abdelghani Azri (CIKM, 2023)

Enhancing Recommender Systems through Hybrid Fusion of SVD/SVD++ and k-Nearest Neighbors. - Nabil Azri; Adil Haddi; Abdelghani Azri (SITA, 2023)

Improving Explainable Matrix Factorization with User-Item Features for Recommender Systems. - Abdelghani Azri; Adil Haddi; Hakim Allali (SADASC (2), 2024)

IUAutoTimeSVD++: A Hybrid Temporal Recommender System Integrating Item and User Features Using a Contractive Autoencoder. - Abdelghani Azri; Adil Haddi; Hakim Allali (Inf., 2024)