Claudio Pomo

Orcid: 0000-0001-5206-3909

According to our database1, Claudio Pomo authored at least 39 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

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.
CoRR, 2024

2023
Auditing fairness under unawareness through counterfactual reasoning.
Inf. Process. Manag., 2023

Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation.
CoRR, 2023

Formalizing Multimedia Recommendation through Multimodal Deep Learning.
CoRR, 2023

A Topology-aware Analysis of Graph Collaborative Filtering.
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

Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems.
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

EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Knowledge Graph Datasets for Recommendation.
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

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.
Proceedings of the Advances in Information Retrieval, 2023

Irrelevant Explanations: a Logical Formalization and a Case Study.
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
Conversational recommendation: Theoretical model and complexity analysis.
Inf. Sci., 2022

Top-N Recommendation Algorithms: A Quest for the State-of-the-Art.
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

An Analysis of Local Explanation with LIME-RS.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Towards a theoretical formalization of conversational recommendation.
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
Adherence and Constancy in LIME-RS Explanations for Recommendation.
CoRR, 2021

Reenvisioning Collaborative Filtering vs Matrix Factorization.
CoRR, 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

On the Need for a Body of Knowledge on Recommender Systems (Short paper).
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

Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper).
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

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems.
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
Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure.
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

Semantic interpretability of latent factors for recommendation.
Proceedings of the 10th Italian Information Retrieval Workshop, 2019

2018
On fast prototyping LoRaWAN: a cheap and open platform for daily experiments.
IET Wirel. Sens. Syst., 2018

2017
Four Key Factors to Design a Web of Things Architecture.
Proceedings of the Current Trends in Web Engineering, 2017


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