Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. - Aghiles Salah; Nicoleta Rogovschi; François Role; Mohamed Nadif (EGC, 2015)

An Efficient Incremental Collaborative Filtering System. - Aghiles Salah; Nicoleta Rogovschi; Mohamed Nadif (ICONIP (3), 2015)

Model-based Co-clustering for High Dimensional Sparse Data. - Aghiles Salah; Nicoleta Rogovschi; Mohamed Nadif (AISTATS, 2016)

Stochastic Co-clustering for Document-Term Data. - Aghiles Salah; Nicoleta Rogovschi; Mohamed Nadif (SDM, 2016)

A dynamic collaborative filtering system via a weighted clustering approach. - Aghiles Salah; Nicoleta Rogovschi; Mohamed Nadif (Neurocomputing, 2016)

Von Mises-Fisher based (co-)clustering for high-dimensional sparse data : application to text and collaborative filtering data. (Modèles de mélange de von Mises-Fisher pour la classification simple et croisée de données éparses de grande dimension). - Aghiles Salah (2016)

A Way to Boost Semi-NMF for Document Clustering. - Aghiles Salah; Melissa Ailem; Mohamed Nadif (CIKM, 2017)

Model-based von Mises-Fisher Co-clustering with a Conscience. - Aghiles Salah; Mohamed Nadif (SDM, 2017)

Non-negative Matrix Factorization Meets Word Embedding. - Melissa Ailem; Aghiles Salah; Mohamed Nadif (SIGIR, 2017)

Social regularized von Mises-Fisher mixture model for item recommendation. - Aghiles Salah; Mohamed Nadif (Data Min. Knowl. Discov., 2017)

Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. - Aghiles Salah; Melissa Ailem; Mohamed Nadif (AAAI, 2018)

A Bayesian Latent Variable Model of User Preferences with Item Context. - Aghiles Salah; Hady W. Lauw (IJCAI, 2018)

Probabilistic Collaborative Representation Learning for Personalized Item Recommendation. - Aghiles Salah; Hady W. Lauw (UAI, 2018)

Directional co-clustering. - Aghiles Salah; Mohamed Nadif (Adv. Data Anal. Classif., 2019)

Cornac: A Comparative Framework for Multimodal Recommender Systems. - Aghiles Salah; Quoc-Tuan Truong; Hady W. Lauw (J. Mach. Learn. Res., 2020)

Towards Source-Aligned Variational Models for Cross-Domain Recommendation. - Aghiles Salah; Thanh-Binh Tran; Hady W. Lauw (RecSys, 2021)

Multi-Modal Recommender Systems: Hands-On Exploration. - Quoc-Tuan Truong; Aghiles Salah; Hady W. Lauw (RecSys, 2021)

Bilateral Variational Autoencoder for Collaborative Filtering. - Quoc-Tuan Truong; Aghiles Salah; Hady W. Lauw (WSDM, 2021)

Exploring Cross-Modality Utilization in Recommender Systems. - Quoc-Tuan Truong; Aghiles Salah; Thanh-Binh Tran; Jingyao Guo; Hady W. Lauw (IEEE Internet Comput., 2021)

Multi-Modal Attribute Extraction for E-Commerce. - Aloïs de La Comble; Anuvabh Dutt; Pablo Montalvo; Aghiles Salah (CoRR, 2022)

Improving NMF clustering by leveraging contextual relationships among words. - Mickael Febrissy; Aghiles Salah; Melissa Ailem; Mohamed Nadif (Neurocomputing, 2022)

Learning to Infer Product Attribute Values From Descriptive Texts and Images. - Pablo Montalvo; Aghiles Salah (WSDM, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

WSDM 2024 Workshop on Representation Learning & Clustering. - Lazhar Labiod; Mohamed Nadif; Aghiles Salah (WSDM, 2024)

Investigating Cross-Domain Capabilities of LLMs in Two-Stage Recommender Systems. - Mohamed Islem Kara Bernou; Aghiles Salah; Alexandru Tatar (WWW (Companion Volume), 2025)