Claudio Pomo
Orcid: 0000-0001-5206-3909
According to our database1,
Claudio Pomo
authored at least 49 papers
between 2017 and 2024.
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Bibliography
2024
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders.
J. Intell. Inf. Syst., June, 2024
CoRR, 2024
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach.
CoRR, 2024
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Proceedings of the Recommender Systems Challenge 2024, 2024
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation.
Proceedings of the Recommender Systems Challenge 2024, 2024
Proceedings of the 14th Italian Information Retrieval Workshop, 2024
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Inf. Process. Manag., 2023
Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation.
CoRR, 2023
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis.
Proceedings of the 1st International Workshop on Deep Multimodal Learning for Information Retrieval, 2023
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), 2023
2022
Inf. Sci., 2022
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
2021
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021
Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems.
Proceedings of the Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia, June 28, 2021
2020
Proceedings of the Human-Centered Software Engineering, 2020
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020
2019
On the discriminative power of hyper-parameters in cross-validation and how to choose them.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the 10th Italian Information Retrieval Workshop, 2019
2018
IET Wirel. Sens. Syst., 2018
2017
Proceedings of the Current Trends in Web Engineering, 2017