Giacomo Medda

Orcid: 0000-0002-1300-1876

According to our database1, Giacomo Medda authored at least 27 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
First International Workshop on User Modeling, Personalization, and Adaptive Systems for Sustainability and Social Good (UMAP4Good 2026).
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

How to Build Explainable Recommender Systems using Path Reasoning on Knowledge Graphs: A Tutorial with hopwise.
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

Evaluating the Role of Context Representations in the Behavioral Fidelity of LLM-based Personas for Food Preferences.
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

FoodNexus: Massive Food Knowledge for Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2026

2025
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning.
ACM Trans. Intell. Syst. Technol., February, 2025

Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

How Fair is Your Diffusion Recommender Model?
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

GreenFoodLens: Sustainability Labels for Food Recommendation.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Low-Resource Course Recommendation for Professional Training Associations.
Proceedings of the Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons, 2025

Confidential Retrieval-Augmented Generation in Educational Contexts.
Proceedings of the Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons, 2025

hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024.
SIGIR Forum, June, 2024

Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health.
CoRR, 2024

How Fair is Your Diffusion Recommender Model?
CoRR, 2024

Fair Augmentation for Graph Collaborative Filtering.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Knowledge Data Modeling in Food Recommendation: A Case Study on Nutritional Values.
Proceedings of the Recommender Systems for Sustainability and Social Good, 2024

Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks.
Proceedings of the 14th Italian Information Retrieval Workshop, 2024

First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024).
Proceedings of the Advances in Information Retrieval, 2024

Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

2023
Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems.
Pattern Recognit. Lett., April, 2023

Practical perspectives of consumer fairness in recommendation.
Inf. Process. Manag., 2023

Consumer Fairness Benchmark in Recommendation.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

2022
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations.
Proceedings of the Advances in Information Retrieval, 2022

2021
Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Improving Fairness in Speaker Recognition.
Proceedings of the ESSE 2020: 2020 European Symposium on Software Engineering, 2020


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