Sfoglia per Autore
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.
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.
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.
Towards Explainable Educational Recommendation through Path Reasoning Methods
2023-01-01 Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
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.
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges
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.
Bias characterization, assessment, and mitigation in location-based recommender systems
2023-01-01 Sanchez, P.; Bellogin, A.; Boratto, L.
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
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality
2023-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Practical perspectives of consumer fairness in recommendation
2023-01-01 Boratto, L.; Fenu, G.; Marras, M.; Medda, G.
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.
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives
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.
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems
2023-01-01 Dokoupil, P.; Peska, L.; Boratto, L.
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
2023-01-01 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G.
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.
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 |
Towards Self-Explaining Sequence-Aware Recommendation | 1-gen-2023 | Ariza-Casabona, A.; Salamo, M.; Boratto, L.; Fenu, G. | - | Association for Computing Machinery, Inc |
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 |
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 |
Towards Explainable Educational Recommendation through Path Reasoning Methods | 1-gen-2023 | Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M. | - | CEUR-WS |
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 |
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 |
Consumer Fairness Benchmark in Recommendation | 1-gen-2023 | Boratto, L.; Fenu, G.; Marras, M.; Medda, G. | - | CEUR-WS |
Bias characterization, assessment, and mitigation in location-based recommender systems | 1-gen-2023 | Sanchez, P.; Bellogin, A.; Boratto, L. | DATA MINING AND KNOWLEDGE DISCOVERY | - |
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 |
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality | 1-gen-2023 | Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M. | KNOWLEDGE-BASED SYSTEMS | - |
Practical perspectives of consumer fairness in recommendation | 1-gen-2023 | Boratto, L.; Fenu, G.; Marras, M.; Medda, G. | INFORMATION PROCESSING & MANAGEMENT | - |
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 |
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives | 1-gen-2023 | Purificato, E.; Boratto, L.; De Luca, E. W. | - | Association for Computing Machinery, Inc |
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 |
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 |
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems | 1-gen-2023 | Dokoupil, P.; Peska, L.; Boratto, L. | - | Association for Computing Machinery |
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 |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile