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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Daniele Malitesta

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Book Open access Oct 2026

Distribution-Robust Reranking for Conversational Music Recommendation: PoliBaJukebox at the ACM RecSys Challenge 2026

We describe the PoliBaJukebox submission to the ACM RecSys Challenge 2026 on conversational music recommendation over the TalkPlayData 2 corpus. Our system implements a modular two-stage pipeline: a first stage retrieves candidates from the full track catalog using ten heterogeneous sources, fuses them with weighted Re...

Andrea Lops, Nicola Cipriani, Gabriele Colapinto et al. · 1 citation
Book Open access Sep 2026

Second International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)

The Second International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec) addresses the increasingly important challenge of understanding how multimodal data quality affects the robustness, fairness, explainability, and practical utility of modern recommender systems. As multimodal recommendation ev...

Claudio Pomo, Daniele Malitesta, Alberto Carlo Maria Mancino et al. · 0 citations
#machine learning Review Sep 2026

Data Processing for Offline Evaluation in Recommender Systems: a Survey

A systematic, cross-domain characterisation of data processing practices for the offline evaluation of recommender systems is provided, identifying substantial heterogeneity in how auxiliary information is prepared and represented, as well as inconsistencies in the specification of data splitting protocols.

Alberto Carlo Maria Mancino, Angela Di Fazio, Danilo Danese et al. · 0 citations
#graph neural networks Book Open access Oct 2026

Beyond Single-Signal Retrieval: A Graph-Aware Agentic Framework for Conversational Music Recommendation

Experimental results show the pipeline outperforms baselines in ranking, diversity, and explanations, proving that combining graph embeddings with agentic reasoning successfully bridges long-term profiles and immediate intent.

Marco Valentini, Bianca Di Bitetto, Gianmichele De Palma et al. · 1 citation
Open access Jul 2026

AMIUgraph: analysis and modeling of interactions for utility-driven benchmarking of graph-based models in healthcare.

AMIUGraph provides a clinically grounded and utility-driven benchmarking framework that jointly evaluates KGE and GNN models across multiple healthcare graph types and learning settings, and offers practical guidance for selecting graph-based models in medical decision-support systems.

P. Sorino, A. D. Bellis, Daniele Malitesta et al. · 0 citations

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