Semantically-Grounded Graph Alignment via Affective Contrastive Learning. Accepted at SIGIR 2026

Unifying Academic Rigor and Industrial Scale for Responsible, Reproducible, and Efficient Recommendation

A Python Library for Standardized and Reproducible Data Management in Recommender Systems

cellular direct search

ABAI Hands-on Sessions Repository

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Accepted as reproducibility paper at SIGIR '26

Ducho is a Python framework aimed to extract multimodal features used in multimodal recommendation settings through a highly-customizable processing and extraction pipeline.