Name: Daniele Malitesta
Type: User
Company: Université Paris-Saclay
Bio: Postdoc researcher @ CentraleSupélec (Université Paris-Saclay) | Graph Representation Learning, Recommender Systems, Multimodal Deep Learning
Twitter: dmalitesta
Location: Paris, France
Blog: https://danielemalitesta.github.io/
Daniele Malitesta's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Accepted as full paper at DL4SR@CIKM2022
Official implementation of the paper "Leveraging Content-Style Item Representation for Visual Recommendation" accepted at ECIR 2022
Accepted as full paper at ECIR 2023
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Accepted as short paper at MORS2022@RecSys2022
A Python implementation to extract multimodal features (visual and textual).
Accepted as reproducibility paper at RecSys 2023.
Accepted as demo paper at UMAP 2023