Aghiles Salah

Multi-Modal Attribute Extraction for E-Commerce

To improve users' experience as they navigate the myriad of options offered by online marketplaces, it is essential to have well-organized product catalogs. One key ingredient to that is the...

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

Investigating Cross-Domain Capabilities of LLMs in Two-Stage Recommender Systems

An Efficient Incremental Collaborative Filtering System

Model-based Co-clustering for High Dimensional Sparse Data

A Bayesian Latent Variable Model of User Preferences with Item Context

A Way to Boost Semi-NMF for Document Clustering

Multi-Modal Recommender Systems: Hands-On Exploration

Towards Source-Aligned Variational Models for Cross-Domain Recommendation

Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale

WSDM 2024 Workshop on Representation Learning & Clustering

Learning to Infer Product Attribute Values From Descriptive Texts and Images

Bilateral Variational Autoencoder for Collaborative Filtering

Probabilistic Collaborative Representation Learning for Personalized Item Recommendation

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

Stochastic Co-clustering for Document-Term Data

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

Non-negative Matrix Factorization Meets Word Embedding