Aghiles Salah

发表

Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering

Mohamed Nadif, Aghiles Salah, Melissa Ailem, 2018, AAAI.

A Bayesian Latent Variable Model of User Preferences with Item Context

Aghiles Salah, Hady W. Lauw, Aghiles Salah, 2018, IJCAI.

Stochastic Co-clustering for Document-Term Data

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, SDM.

Probabilistic Collaborative Representation Learning for Personalized Item Recommendation

Aghiles Salah, Hady W. Lauw, Aghiles Salah, 2018, UAI.

Directional co-clustering

Mohamed Nadif, Aghiles Salah, M. Nadif, 2019, Adv. Data Anal. Classif..

Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2015, EGC.

Model-based von Mises-Fisher Co-clustering with a Conscience

Mohamed Nadif, Aghiles Salah, 2017, SDM.

Cornac: A Comparative Framework for Multimodal Recommender Systems

Aghiles Salah, Andreas Mueller, Quoc-Tuan Truong, 2020, J. Mach. Learn. Res..

Non-negative Matrix Factorization Meets Word Embedding

Mohamed Nadif, Aghiles Salah, Melissa Ailem, 2017, SIGIR.

An Efficient Incremental Collaborative Filtering System

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2015, ICONIP.

A Way to Boost Semi-NMF for Document Clustering

Mohamed Nadif, Aghiles Salah, Melissa Ailem, 2017, CIKM.

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, Aghiles Salah, 2016 .

Social regularized von Mises–Fisher mixture model for item recommendation

Mohamed Nadif, Aghiles Salah, M. Nadif, 2017, Data Mining and Knowledge Discovery.

A dynamic collaborative filtering system via a weighted clustering approach

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, Neurocomputing.

Model-based Co-clustering for High Dimensional Sparse Data

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, AISTATS.

Towards Source-Aligned Variational Models for Cross-Domain Recommendation

Aghiles Salah, Hady W. Lauw, Thanh Binh Tran, 2021, RecSys.

Bilateral Variational Autoencoder for Collaborative Filtering

Aghiles Salah, Quoc-Tuan Truong, Hady W. Lauw, 2021, WSDM.

Multi-Modal Recommender Systems: Hands-On Exploration

Aghiles Salah, Hady W. Lauw, Hady Lauw, 2021, RecSys.

Exploring Cross-Modality Utilization in Recommender Systems

Aghiles Salah, Quoc-Tuan Truong, Hady W. Lauw, 2021, IEEE Internet Computing.