Pomo, Claudio

Pomo, Claudio  

Dipartimento di Ingegneria Elettrica e dell'Informazione  

Ricercatori a tempo determinato  

0000-0001-5206-3909

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Titolo Data di pubblicazione Autori File
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph 1-gen-2024 Daniele MalitestaClaudio PomoVito Walter AnelliAlberto Carlo Maria MancinoTommaso Di NoiaEugenio Di Sciascio
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders 1-gen-2024 Di Sciascio, EugenioPomo, ClaudioSchiavone, Angelo +
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework 1-gen-2023 Malitesta D.Pomo C.Anelli V. W.Di Noia T.Ferrara A.
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering 1-gen-2023 Anelli V. W.Deldjoo Y.Di Noia T.Malitesta D.Pomo C. +
Auditing fairness under unawareness through counterfactual reasoning 1-gen-2023 Cornacchia, GiandomenicoAnelli, Vito WalterBiancofiore, Giovanni MariaNarducci, FedelucioPomo, ClaudioDi Sciascio, Eugenio +
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis 1-gen-2023 Vito Walter AnelliDaniele MalitestaClaudio PomoEugenio Di SciascioTommaso Di Noia +
Conversational recommendation: Theoretical model and complexity analysis 1-gen-2022 Di Noia, TommasoNarducci, FedelucioPomo, Claudio +
Conversational User Interfaces and Agents 1-gen-2025 Biancofiore, Giovanni MariaDi Palma, DarioPomo, ClaudioNarducci, FedelucioDi Noia, Tommaso
DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems 1-gen-2025 Alberto Carlo Maria MancinoSalvatore BufiAngela Di FazioAntonio FerraraDaniele MalitestaClaudio PomoTommaso Di Noia
DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation 1-gen-2024 Ferrara, AntonioValentini, MarcoMasciullo, PaoloDe Candia, AntonioAbbattista, DavideFusco, RiccardoPomo, ClaudioAnelli, Vito WalterBiancofiore, Giovanni MariaNarducci, Fedelucio +
Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation 1-gen-2025 Pomo, ClaudioAttimonelli, MatteoDanese, DaniloNarducci, FedelucioDi Noia, Tommaso
Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search 1-gen-2025 Attimonelli, MatteoDe Bellis, AlessandroPomo, ClaudioDi Sciascio, EugenioDi Noia, Tommaso +
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? 1-gen-2024 Malitesta, DanielePomo, ClaudioDi Noia, Tommaso +
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation 1-gen-2024 Matteo AttimonelliDanilo DaneseDaniele MalitestaClaudio PomoTommaso Di Noia +
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation 1-gen-2023 Malitesta, DanielePomo, ClaudioDi Noia, Tommaso +
EB-NeRD a large-scale dataset for news recommendation 1-gen-2024 Pomo, Claudio +
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation 1-gen-2021 Vito Walter AnelliAntonio FerraraDaniele MalitestaFelice Antonio MerraClaudio PomoTommaso Di Noia +
Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research 1-gen-2025 Ferrara, AntonioPomo, Claudio +
EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments 1-gen-2023 Pomo C. +
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective 1-gen-2023 Di Palma D.Anelli V. W.Malitesta D.Pomo C.Deldjoo Y.Di Noia T. +