BORATTO, LUDOVICO

BORATTO, LUDOVICO  

DIPARTIMENTO DI MATEMATICA ED INFORMATICA  

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Titolo Data di pubblicazione Autore(i) Rivista Editore
Conclusions 1-gen-2024 Felfernig, A.; Boratto, L.; Stettinger, M.; Tkalcic, M. - Springer Science and Business Media Deutschland GmbH
Evaluating Group Recommender Systems 1-gen-2024 Trattner, C.; Said, A.; Boratto, L.; Felfernig, A. - Springer Science and Business Media Deutschland GmbH
Bias characterization, assessment, and mitigation in location-based recommender systems 1-gen-2023 Sanchez, P.; Bellogin, A.; Boratto, L. DATA MINING AND KNOWLEDGE DISCOVERY -
Consumer Fairness Benchmark in Recommendation 1-gen-2023 Boratto, L.; Fenu, G.; Marras, M.; Medda, G. - CEUR-WS
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems 1-gen-2023 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G. - Association for Computing Machinery
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models 1-gen-2023 Abdelrazek, M.; Purificato, E.; Boratto, L.; De Luca, E. W. - Association for Computing Machinery
First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U) 1-gen-2023 De Luca, E. W.; Purificato, E.; Boratto, L.; Marrone, S.; Sansone, C. - Association for Computing Machinery
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) 1-gen-2023 Boratto, L.; Faralli, S.; Marras, M.; Stilo, G. - Springer Science and Business Media Deutschland GmbH
HCAI4U 2023 - Preface to the First Workshop on User Perspectives in Human-Centred Artificial Intelligence 1-gen-2023 De Luca, E. W.; Purificato, E.; Boratto, L.; Marrone, S.; Sansone, C. - CEUR-WS
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation 1-gen-2023 Balloccu, G.; Boratto, L.; Cancedda, C.; Fenu, G.; Marras, M. - Springer Science and Business Media Deutschland GmbH
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods 1-gen-2023 Balloccu, G.; Boratto, L.; Cancedda, C.; Fenu, G.; Marras, M. - CEUR-WS
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges 1-gen-2023 Purificato, E.; Boratto, L.; De Luca, E. W. - Association for Computing Machinery
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations 1-gen-2023 Dokoupil, P.; Peska, L.; Boratto, L. - Association for Computing Machinery, Inc
Looks Can Be Deceiving: Linking User-Item Interactions and User’s Propensity Towards Multi-Objective Recommendations 1-gen-2023 Dokoupil, Patrik; Peska, Ladislav; Boratto, Ludovico - ACM, Association for Computing Machinery
Practical perspectives of consumer fairness in recommendation 1-gen-2023 Boratto, L.; Fenu, G.; Marras, M.; Medda, G. INFORMATION PROCESSING & MANAGEMENT -
Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks 1-gen-2023 Purificato, E.; Boratto, L.; De Luca, E. W. - CEUR-WS
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality 1-gen-2023 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M. KNOWLEDGE-BASED SYSTEMS -
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives 1-gen-2023 Paparella, Vincenzo; Anelli, Vito Walter; Boratto, Ludovico; Di Noia, Tommaso - Association for Computing Machinery
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems 1-gen-2023 Dokoupil, P.; Peska, L.; Boratto, L. - Association for Computing Machinery
Towards Explainable Educational Recommendation through Path Reasoning Methods 1-gen-2023 Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M. - CEUR-WS