Latest news:

[02 Apr 2026] 👥 Organiser of DaQuaMRec, the second international  workshop on data quality-aware multimodal recommendation, that will be held in conjunction with RecSys 2026 (webpage) (post)
[26 Feb 2026] 📣 Our "Special Issue on Challenges in Modern Multimodal Recommender Systems" is now open in
ACM TORS! (Call for Papers)(post)
[09 Jan 2026] 🧩 DataRec, the Python library for standardized data management in recommender systems, is available on pip! (PyPi)(tweet)
[09 Dec 2025] 📜  "On the Impact of Graph Neural Networks in Recommender Systems: A Topological Perspective" preprint is now online! Check it on ArXiv (ArXiv)(LinkedIn)
[14 Nov 2025] 🎙️ My guest interview on DataRec, hosted by Kyle Polich, is now online! (Spotify)(Apple podcasts)(YouTube)
[7 Aug 2025] "Balancing Accuracy and Novelty with Sub-Item Popularity" has been accepted for publication at ACM RecSys 2025 (post)(preprint)
[19  Jul 2025] 🇮🇹🛬 Back from ACM SIGIR 2025: happy to see so much interest around DataRec (tweet)(paper)
[19  Jun 2025] 🇺🇸🛬 Back from ACM UMAP 2025: a wonderful experience as Student Volunteer Chair  (tweet)
[01 May 2025] 🧑‍🏫 Our tutorial proposal "Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec)" has been accepted at RecSys 2025 (webpage)(tweet)
[05 Apr 2025] 📜 "DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems” has been accepted for publication at SIGIR 2025 (tweet)
[04 Apr 2025] 👥 Organiser of DaQuaMRec, the first international  workshop on data quality-aware multimodal recommendation, that will be held in conjunction with RecSys 2025 (webpage) (tweet)
[23 Jan 2025] 🎓 Ph.D. thesis named "Designing Secure and Knowledge-Aware Recommender Systems Leveraging Data Properties and Graph Structures" defended with success at Università La Sapienza di Roma (tweet)(thesis)
[23 Jan 2025] 📜 "Are We Done with MMLU?" accepted for publication at NAACL 2025 (tweet)(paper)
[16 Dec 2024] 📜 "Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism" accepted for publication at ECIR 2025 (tweet)(paper)