Publications
Bold style means (one of) main author(s).
Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
Pomo Claudio, Attimonelli Matteo, Danese Danilo, Narducci Fedelucio, Di Noia Tommaso
In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM ’25), November 10–14, 2025, Seoul, Republic of Korea.Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
Attimonelli Matteo, De Bellis Alessandro, Pomo Claudio, Jannach Dietmar, Di Sciascio Eugenio, Di Noia Tommaso
In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ’25), September 22–26, 2025, Prague, Czech Republic.Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec)
Mancino Alberto Carlo Maria, Attimonelli Matteo, Di Fazio Angela, Malitesta Daniele, Di Noia Tommaso
In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ’25), September 22–26, 2025, Prague, Czech Republic.Ducho 2.0: Towards a More Up-to-Date Feature Extraction and Processing Framework for Multimodal Recommendation
Attimonelli Matteo, Danese Danilo, Malitesta Daniele, Pomo Claudio, Gassi Giuseppe, Di Noia Tommaso
WWW ‘24 Companion, May 13-17, 2024, Singapore.Adversarial Attacks Against Visually Aware Fashion Outfit Recommender Systems
Attimonelli Matteo, Amatulli Gianluca, Di Gioia Leonardo, Malitesta Daniele, Deldjoo Yashar, Di Noia Tommaso
Recommender Systems in Fashion and Retail. RECSYS 2022.
