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.· Proceedings of the 20th ACM...· 0 citations
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
This work introduces XstrAI, an audience-aware multi-agent framework that treats local explanations as fixed evidence and structures how it is communicated to each target reader, and evaluates XstrAI on diabetes and stroke risk prediction against 11 baselines.
F. Musicco, Danilo Danese, Giuseppe Fasano et al.· 0 citations
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