Università degli Studi di Cagliari
Ludovico Boratto
Conclusions
2024-01-01 Felfernig, A.; Boratto, L.; Stettinger, M.; Tkalcic, M.
Evaluating Group Recommender Systems
2024-01-01 Trattner, C.; Said, A.; Boratto, L.; Felfernig, A.
Towards Self-Explaining Sequence-Aware Recommendation
2023-01-01 Ariza-Casabona, A.; Salamo, M.; Boratto, L.; Fenu, G.
Towards Explainable Educational Recommendation through Path Reasoning Methods
2023-01-01 Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks
2023-01-01 Purificato, E.; Boratto, L.; De Luca, E. W.
Consumer Fairness Benchmark in Recommendation
2023-01-01 Boratto, L.; Fenu, G.; Marras, M.; Medda, G.
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
2023-01-01 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G.
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality
2023-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation
2023-01-01 Balloccu, G.; Boratto, L.; Cancedda, C.; Fenu, G.; Marras, M.
First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U)
2023-01-01 De Luca, E. W.; Purificato, E.; Boratto, L.; Marrone, S.; Sansone, C.
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives
2023-01-01 Purificato, E.; Boratto, L.; De Luca, E. W.
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations
2023-01-01 Dokoupil, P.; Peska, L.; Boratto, L.
Bias characterization, assessment, and mitigation in location-based recommender systems
2023-01-01 Sanchez, P.; Bellogin, A.; Boratto, L.
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives
2023-01-01 Paparella, Vincenzo; Anelli, Vito Walter; Boratto, Ludovico; Di Noia, Tommaso
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems
2023-01-01 Dokoupil, P.; Peska, L.; Boratto, L.
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models
2023-01-01 Abdelrazek, M.; Purificato, E.; Boratto, L.; De Luca, E. W.
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023)
2023-01-01 Boratto, L.; Faralli, S.; Marras, M.; Stilo, G.
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges
2023-01-01 Purificato, E.; Boratto, L.; De Luca, E. W.
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods
2023-01-01 Balloccu, G.; Boratto, L.; Cancedda, C.; Fenu, G.; Marras, M.
HCAI4U 2023 - Preface to the First Workshop on User Perspectives in Human-Centred Artificial Intelligence
2023-01-01 De Luca, E. W.; Purificato, E.; Boratto, L.; Marrone, S.; Sansone, C.
Looks Can Be Deceiving: Linking User-Item Interactions and User’s Propensity Towards Multi-Objective Recommendations
2023-01-01 Dokoupil, Patrik; Peska, Ladislav; Boratto, Ludovico
Practical perspectives of consumer fairness in recommendation
2023-01-01 Boratto, L.; Fenu, G.; Marras, M.; Medda, G.
Advances in Bias and Fairness in Information Retrieval: Preface
2022-01-01 Boratto, L.; Faralli, S.; Marras, M.; Stilo, G.
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
2022-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Robust reputation independence in ranking systems for multiple sensitive attributes
2022-01-01 Ramos, G.; Boratto, L.; Marras, M.
XRecSys: A framework for path reasoning quality in explainable recommendation
2022-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Hands on Explainable Recommender Systems with Knowledge Graphs
2022-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Enabling cross-continent provider fairness in educational recommender systems
2022-01-01 Gomez, E.; Shui Zhang, C.; Boratto, L.; Salamo, M.; Ramos, G.
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling
2022-01-01 Purificato, E.; Boratto, L.; De Luca, E. W.
Regulating Group Exposure for Item Providers in Recommendation
2022-01-01 Marras, M.; Boratto, L.; Ramos, G.; Fenu, G.
Enabling Reproducibility in Group Recommender Systems
2022-01-01 Silveira, J. D.; Salamo, M.; Boratto, L.
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations
2022-01-01 Boratto, L.; Fenu, G.; Medda, G.; Marras, M.
Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022)
2022-01-01 Boratto, L.; Faralli, S.; Marras, M.; Stilo, G.
Fair performance-based user recommendation in eCoaching systems
2022-01-01 Boratto, L.; Carta, S.; Iguider, W.; Mulas, F.; Pilloni, P.
Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation
2022-01-01 Boratto, L.; Faralli, S.; Marras, M.; Stilo, G.
Provider fairness across continents in collaborative recommender systems
2022-01-01 Gómez, Elizabeth; Boratto, Ludovico; Salamó, Maria
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery
2022-01-01 Saude, J.; Ramos, G.; Boratto, L.; Caleiro, C.
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation
2022-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Disparate Impact in Item Recommendation: A Case of Geographic Imbalance
2021-01-01 Gomez, E.; Boratto, L.; Salamo, M.
From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems
2021-01-01 Ariza, A.; Fabbri, F.; Boratto, L.; Salamo, M.
Reputation Equity in Ranking Systems
2021-01-01 Ramos, Guilherme; Boratto, Ludovico; Marras, Mirko
Advances in bias and fairness in information retrieval: Preface
2021-01-01 Boratto, L.; Faralli, S.; Marras, Mirko; Stilo, G.
Connecting user and item perspectives in popularity debiasing for collaborative recommendation
2021-01-01 Boratto, L.; Fenu, G.; Marras, M.
Combining mitigation treatments against biases in personalized rankings: use case on item popularity
2021-01-01 Boratto, L.; Fenu, Gianni; Marras, Mirko
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations
2021-01-01 Marras, Mirko; Boratto, Ludovico; Ramos, Guilherme; Fenu, Gianni
Integrating Collaboration and Leadership in Conversational Group Recommender Systems
2021-01-01 Contreras, D.; Salamo, M.; Boratto, L.
Interplay between upsampling and regularization for provider fairness in recommender systems
2021-01-01 Boratto, Ludovico; Fenu, Gianni; Marras, Mirko
Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021)
2021-01-01 Boratto, L.; Faralli, S.; Marras, Mirko; Stilo, G.
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems
2021-01-01 Gomez, E.; Shui Zhang, C.; Boratto, L.; Salamo, M.; Marras, Mirko
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification
2021-01-01 Piras, L.; Boratto, L.; Ramos, G.
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