Daniele Malitesta

Postdoc, Luiss Guido Carli University

Postdoc, Centrale Supélec

Joined

June 2022

Names

Daniele Malitesta (Preferred)

Emails

****@poliba.it (Confirmed)

****@gmail.com (Confirmed)

****@centralesupelec.fr (Confirmed)

****@luiss.it (Confirmed)

Personal Links

Career & Education History

Postdoc

Luiss Guido Carli University (luiss.it)

2026 – Present

Postdoc

Centrale Supélec (centralesupelec.fr)

2024 – 2026

PhD student

Polytechnic Institute of Bari (poliba.it)

2020 – 2024

Advisors, Relations & Conflicts

Postdoc Advisor

Vincenzo Lomonaco

2026 – Present

Postdoc Advisor

Fragkiskos D. Malliaros

2024 – 2026

PhD Advisor

Tommaso Di Noia

2020 – 2024

Expertise

Recommender Systems

2020 – Present

Multimodal Deep Learning

2020 – Present

Graph Machine Learning

2020 – Present

Publications

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo
- 2023 (modified: 10 Apr 2023)
- ECIR (1) 2023
- Readers: Everyone
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework
Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia, Antonio Ferrara
- Published: 01 Jan 2023, Last Modified: 28 Aug 2023
- UMAP (Adjunct Publication) 2023
- Readers: Everyone
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
Daniele Malitesta, Giuseppe Gassi, Claudio Pomo, Tommaso Di Noia
- Published: 01 Jan 2023, Last Modified: 28 Aug 2023
- CoRR 2023
- Readers: Everyone
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia
- Published: 01 Jan 2023, Last Modified: 28 Aug 2023
- EvalRS@KDD 2023
- Readers: Everyone
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Tommaso Di Noia, Eugenio Di Sciascio
- Published: 01 Jan 2023, Last Modified: 28 Aug 2023
- CoRR 2023
- Readers: Everyone
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries
Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino
- Published: 01 Jan 2023, Last Modified: 28 Aug 2023
- SIGIR 2023
- Readers: Everyone
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective
Dario Di Palma, Vito Walter Anelli, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo, Yashar Deldjoo, Tommaso Di Noia
- Published: 01 Jan 2023, Last Modified: 28 Aug 2023
- IIR 2023
- Readers: Everyone
KGTORe: Tailored Recommendations through Knowledge-aware GNN Models
Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio
- Published: 01 Jan 2023, Last Modified: 06 Oct 2023
- RecSys 2023
- Readers: Everyone
A Topology-aware Analysis of Graph Collaborative Filtering
Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Eugenio Di Sciascio, Tommaso Di Noia
- Published: 01 Jan 2023, Last Modified: 06 Oct 2023
- CoRR 2023
- Readers: Everyone
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia
- Published: 01 Jan 2023, Last Modified: 06 Oct 2023
- CoRR 2023
- Readers: Everyone

View all 29 publications

Daniele Malitesta

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors