Matteo Attimonelli

According to our database, Matteo Attimonelli authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Do Composed Image Retrieval Benchmarks Require Multimodal Composition?

Matteo Attimonelli, Alessandro De Bellis, Aryo Pradipta Gema, Rohit Saxena, Monica Sekoyan, Wai-Chung Kwan, Claudio Pomo, Alessandro Suglia, Dietmar Jannach, Tommaso Di Noia, Pasquale Minervini

CoRR, May, 2026

FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching.

Danilo Danese, Angela Lombardi, Matteo Attimonelli, Giuseppe Fasano, Tommaso Di Noia

CoRR, January, 2026

GeCo: Towards effective GAN-based fashion compatibility modeling and retrieval.

Matteo Attimonelli, Claudio Pomo, Dietmar Jannach, Tommaso Di Noia

Inf. Sci., 2026

Large-scale benchmarks for multimodal recommendation with Ducho.

Matteo Attimonelli, Danilo Danese, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia

Expert Syst. Appl., 2026

2025

Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec).

Alberto Carlo Maria Mancino, Matteo Attimonelli, Angela Di Fazio, Daniele Malitesta, Tommaso Di Noia

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search.

Matteo Attimonelli, Alessandro De Bellis, Claudio Pomo, Dietmar Jannach, Eugenio Di Sciascio, Tommaso Di Noia

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation.

Claudio Pomo, Matteo Attimonelli, Danilo Danese, Fedelucio Narducci, Tommaso Di Noia

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation.

Matteo Attimonelli, Danilo Danese, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia

CoRR, 2024

Fashion Image-to-Image Translation for Complementary Item Retrieval.

Matteo Attimonelli, Claudio Pomo, Dietmar Jannach, Tommaso Di Noia

CoRR, 2024

Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation.

Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo, Giuseppe Gassi, Tommaso Di Noia

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Toward Effective Fashion Item Compatibility Modelling.

Matteo Attimonelli, Claudio Pomo, Dietmar Jannach, Tommaso Di Noia

Proceedings of the 14th Italian Information Retrieval Workshop, 2024