Claudio Pomo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
9
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AVI | Exploring AI-Supported Artistic Practices through Human-Centred AI. | Carmelo Ardito, Tommaso Colafiglio, Claudio Pomo, Tommaso Di Noia |
| 2026 | AVI | NeuroHarmonium: An Interactive Neuroadaptive Musical Instrument Using Brain-Computer Interface and Neural Network Learning. | Tommaso Colafiglio, Mariagrazia De Leo, Claudio Pomo, Tommaso Di Noia, Carmelo Ardito |
| 2026 | AVI | Rethinking Artistic Research in the Age of AI: New Frameworks, HCAI Practices, and Challenges. | Claudio Pomo, Carmelo Ardito, Alessandra Micalizzi, Elisa Poli, Emanuele Lomello |
| 2026 | ECIR | A Reproducible and Fair Evaluation of Partition-Aware Collaborative Filtering. | Domenico de Gioia, Claudio Pomo, Ludovico Boratto, Tommaso Di Noia |
| 2026 | SIGIR | Mind the Metric: Reproducibility and Fair Benchmarking of Spectral Graph Models for Collaborative Filtering. | Domenico de Gioia, Claudio Pomo, Ludovico Boratto, Tommaso Di Noia |
| 2025 | CIKM | 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 |
| 2025 | ECIR | Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. | Antonio Ferrara, Claudio Pomo, Nicola Tonellotto |
| 2025 | ICWE | Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. | Antonio Ferrara, Claudio Pomo, Nicola Tonellotto |
| 2025 | RecSys | RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems. | Jacek Dabrowski, Maria Janicka, Lukasz Sienkiewicz, Gergely Stomfai, Dietmar Jannach, Francesco Barile, Marco Polignano, Claudio Pomo, Abhishek Srivastava |
| 2025 | RecSys | 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 |
| 2025 | RecSys | How Powerful are LLMs to Support Multimodal Recommendation? A Reproducibility Study of LLMRec. | Maria Lucia Fioretti, Nicola Laterza, Alessia Preziosa, Daniele Malitesta, Claudio Pomo, Fedelucio Narducci, Tommaso Di Noia |
| 2025 | RecSys | First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec). | Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz |
| 2025 | SIGIR | DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems. | Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia |
| 2024 | CIKM | Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? | Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros |
| 2024 | RecSys | DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. | Antonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio De Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci |
| 2024 | RecSys | RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. | Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen |
| 2024 | RecSys | EB-NeRD a large-scale dataset for news recommendation. | Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen |
| 2024 | RecSys | A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph. | Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio |
| 2024 | WWW | 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 |
| 2023 | ECIR | Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo |
| 2023 | KDD | EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments. | Federico Bianchi, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo |
| 2023 | KDD | Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems. | Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia |
| 2023 | RecSys | Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. | Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogn, Eugenio Di Sciascio, Tommaso Di Noia |
| 2022 | CIKM | Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo |
| 2022 | CIKM | Towards a theoretical formalization of conversational recommendation. | Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo |
| 2022 | RecSys | How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo |
| 2021 | CaiSE | Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems. | Giandomenico Cornacchia, Francesco M. Donini, Fedelucio Narducci, Claudio Pomo, Azzurra Ragone |
| 2021 | RecSys | Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. | Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo |
| 2021 | RecSys | V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. | Vito Walter Anelli, Alejandro Bellogn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2021 | RecSys | Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). | Vito Walter Anelli, Alejandro Bellogn, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo |
| 2021 | RecSys | Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. | Vito Walter Anelli, Alejandro Bellogn, Tommaso Di Noia, Claudio Pomo |
| 2021 | RecSys | On the Need for a Body of Knowledge on Recommender Systems (Short paper). | Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Claudio Pomo |
| 2021 | SIGIR | Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. | Vito Walter Anelli, Alejandro Bellogn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2019 | RecSys | On the discriminative power of hyper-parameters in cross-validation and how to choose them. | Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone |
| 2017 | ICWE | Four Key Factors to Design a Web of Things Architecture. | Francesco Bruni, Claudio Pomo, Gaetano Murgolo |