Università degli Studi di Cagliari
Ludovico Boratto
Bias Classification and Interpretation in Web Content Via Language Models for Trustworthy Non-personalized Information Discovery
2026-01-01 Bartoletti, M.; Boratto, L.; Marras, M.; Reforgiato Recupero, D.; Arturo, Rodriguez; Scarpi, G.
Advances on Graph-Based Approaches in Information Retrieval: Preface
2025-01-01 Boratto, L.; Malitesta, D.; Marras, M.; Medda, G.; Musto, C.; Purificato, E.
Advances in Bias and Fairness in Information Retrieval: Preface
2025-01-01 Bellogin, A.; Boratto, L.; Kleanthous, S.; Lex, E.; Malloci, F. M.; Marras, M.
Effective and Transparent Course Recommendation through Causal Reasoning with Language Models
2025-01-01 Afreen, N.; Boratto, L.; Fenu, G.; Marras, M.; Soccol, A.
Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations
2025-01-01 Ramos, G.; Boratto, L.; Marras, M.
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025)
2025-01-01 Bellogin, A.; Boratto, L.; Kleanthous, S.; Lex, E.; Malloci, F. M.; Marras, M.
Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism
2025-01-01 Boratto, L.; Cena, F.; Marras, M.; Mauro, N.; Medda, G.
Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation
2025-01-01 Ramos, G.; Boratto, L.; Marras, M.
DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation
2024-01-01 Ferrara, A.; Valentini, M.; Masciullo, P.; De Candia, A.; Abbattista, D.; Fusco, R.; Pomo, C.; Anelli, V. W.; Biancofiore, G. M.; Boratto, L.; Narducci, F.
Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering
2024-01-01 Martinez, A.; Tufis, M.; Boratto, L.
SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores
2024-01-01 Dokoupil, P.; Peska, L.; Boratto, L.
Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches
2024-01-01 Ramos, G.; Marras, M.; Boratto, L.
Conclusions
2024-01-01 Felfernig, A.; Boratto, L.; Stettinger, M.; Tkalcic, M.
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends
2024-01-01 Purificato, E.; Boratto, L.; De Luca, E. W.
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
2024-01-01 Medda, G.; Fabbri, F.; Marras, M.; Boratto, L.; Fenu, G.
RecSys 2024 Chairs’ Welcome
2024-01-01 Di Noia, T.; Lops, P.; Joachims, T.; Verbert, K.; Castells, P.; Dong, Z.; London, B.; Anelli, V. W.; Burke, R.; Ferro, N.; Maistro, M.; Deldjoo, Y.; Ferrara, A.; Dacrema, M. F.; Wu, L.; Boratto, L.; de Gemmis, M.; Lex, E.
UMAP 2024 Chairs' Welcome
2024-01-01 Boratto, L.; Germanakos, P.; Gena, C.; Popescus, E.; Marras, M.
Comparing User Interfaces for Customizing Multi-Objective Recommender Systems
2024-01-01 Dokoupil, P.; Boratto, L.; Peska, L.
Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks
2024-01-01 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G.
Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks
2024-01-01 Purificato, E.; Boratto, L.; De Luca, E. W.
Fair Augmentation for Graph Collaborative Filtering
2024-01-01 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G.
MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels
2024-01-01 Gomez, E.; Contreras, D.; Boratto, L.; Salamo, M.
KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation
2024-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.; Soccol, A.
Explainable Recommender Systems with Knowledge Graphs and Language Models
2024-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Malloci, F. M.; Marras, M.
International workshop on algorithmic bias in search and recommendation (BIAS)
2024-01-01 Bellogin, A.; Boratto, L.; Kleanthous, S.; Lex, E.; Malloci, F. M.; Marras, M.
AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders
2024-01-01 Gomez, E.; Contreras, D.; Boratto, L.; Salamo, M.
Learner-centered ontology for explainable educational recommendation
2024-01-01 Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Malloci, F. M.; Marras, M.; Martis, A. G.
A Comparative Analysis of Text-Based Explainable Recommender Systems
2024-01-01 Ariza-Casabona, A.; Boratto, L.; Salamo, M.
Robustness in fairness against edge-level perturbations in GNN-based recommendation
2024-01-01 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G.
First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024)
2024-01-01 Boratto, L.; Malitesta, D.; Marras, M.; Medda, G.; Musto, C.; Purificato, E.
Bringing equity to coarse and fine-grained provider groups in recommender systems
2024-01-01 Gomez, E.; Contreras, D.; Salamo, M.; Boratto, L.
EDGE: A conversational interface driven by Large Language Models for educational knowledge graphs exploration
2024-01-01 Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Malloci, F. M.; Marras, M.; Martis, A. G.
User Perceptions of Diversity in Recommender Systems
2024-01-01 Dokoupil, P.; Boratto, L.; Peska, L.
First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024)
2024-01-01 Boratto, L.; De Filippo, A.; Lex, E.; Ricci, F.
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation
2024-01-01 Boratto, L.; Cerniglia, G.; Marras, M.; Perniciano, A.; Pes, B.
Evaluating Group Recommender Systems
2024-01-01 Trattner, C.; Said, A.; Boratto, L.; Felfernig, A.
Preface on the special issue on group recommender systems
2024-01-01 Boratto, L.; Felfernig, A.; Stettinger, M.; Tkalcic, M.
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.
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
Towards Explainable Educational Recommendation through Path Reasoning Methods
2023-01-01 Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Consumer Fairness Benchmark in Recommendation
2023-01-01 Boratto, L.; 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.
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
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.
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.
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
2023-01-01 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G.
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.
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023)
2023-01-01 Boratto, L.; Faralli, S.; Marras, M.; Stilo, G.
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.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Bias Classification and Interpretation in Web Content Via Language Models for Trustworthy Non-personalized Information Discovery | 1-gen-2026 | Bartoletti, M.; Boratto, L.; Marras, M.; Reforgiato Recupero, D.; Arturo, Rodriguez; Scarpi, G. | - | Springer Science and Business Media Deutschland GmbH |
| Advances on Graph-Based Approaches in Information Retrieval: Preface | 1-gen-2025 | Boratto, L.; Malitesta, D.; Marras, M.; Medda, G.; Musto, C.; Purificato, E. | - | Springer Science and Business Media Deutschland GmbH |
| Advances in Bias and Fairness in Information Retrieval: Preface | 1-gen-2025 | Bellogin, A.; Boratto, L.; Kleanthous, S.; Lex, E.; Malloci, F. M.; Marras, M. | - | Springer Science and Business Media Deutschland GmbH |
| Effective and Transparent Course Recommendation through Causal Reasoning with Language Models | 1-gen-2025 | Afreen, N.; Boratto, L.; Fenu, G.; Marras, M.; Soccol, A. | - | CEUR-WS |
| Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations | 1-gen-2025 | Ramos, G.; Boratto, L.; Marras, M. | - | Association for Computing Machinery, Inc |
| International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025) | 1-gen-2025 | Bellogin, A.; Boratto, L.; Kleanthous, S.; Lex, E.; Malloci, F. M.; Marras, M. | - | Association for Computing Machinery, Inc |
| Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism | 1-gen-2025 | Boratto, L.; Cena, F.; Marras, M.; Mauro, N.; Medda, G. | - | Association for Computing Machinery, Inc |
| Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation | 1-gen-2025 | Ramos, G.; Boratto, L.; Marras, M. | IEEE TRANSACTIONS ON BIG DATA | - |
| DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation | 1-gen-2024 | Ferrara, A.; Valentini, M.; Masciullo, P.; De Candia, A.; Abbattista, D.; Fusco, R.; Pomo, C.; Anelli, V. W.; Biancofiore, G. M.; Boratto, L.; Narducci, F. | - | Association for Computing Machinery |
| Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering | 1-gen-2024 | Martinez, A.; Tufis, M.; Boratto, L. | - | Association for Computing Machinery |
| SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores | 1-gen-2024 | Dokoupil, P.; Peska, L.; Boratto, L. | - | Association for Computing Machinery |
| Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches | 1-gen-2024 | Ramos, G.; Marras, M.; Boratto, L. | - | Association for Computing Machinery |
| Conclusions | 1-gen-2024 | Felfernig, A.; Boratto, L.; Stettinger, M.; Tkalcic, M. | - | Springer Science and Business Media Deutschland GmbH |
| Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends | 1-gen-2024 | Purificato, E.; Boratto, L.; De Luca, E. W. | - | Association for Computing Machinery, Inc |
| GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning | 1-gen-2024 | Medda, G.; Fabbri, F.; Marras, M.; Boratto, L.; Fenu, G. | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY | - |
| RecSys 2024 Chairs’ Welcome | 1-gen-2024 | Di Noia, T.; Lops, P.; Joachims, T.; Verbert, K.; Castells, P.; Dong, Z.; London, B.; Anelli, V. W.; Burke, R.; Ferro, N.; Maistro, M.; Deldjoo, Y.; Ferrara, A.; Dacrema, M. F.; Wu, L.; Boratto, L.; de Gemmis, M.; Lex, E. | - | Association for Computing Machinery, Inc |
| UMAP 2024 Chairs' Welcome | 1-gen-2024 | Boratto, L.; Germanakos, P.; Gena, C.; Popescus, E.; Marras, M. | - | Association for Computing Machinery, Inc |
| Comparing User Interfaces for Customizing Multi-Objective Recommender Systems | 1-gen-2024 | Dokoupil, P.; Boratto, L.; Peska, L. | - | CEUR-WS |
| Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks | 1-gen-2024 | Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G. | - | CEUR-WS |
| Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks | 1-gen-2024 | Purificato, E.; Boratto, L.; De Luca, E. W. | MINDS AND MACHINES | - |
| Fair Augmentation for Graph Collaborative Filtering | 1-gen-2024 | Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G. | - | Association for Computing Machinery |
| MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels | 1-gen-2024 | Gomez, E.; Contreras, D.; Boratto, L.; Salamo, M. | - | Springer Science and Business Media Deutschland GmbH |
| KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation | 1-gen-2024 | Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.; Soccol, A. | - | Association for Computing Machinery, Inc |
| Explainable Recommender Systems with Knowledge Graphs and Language Models | 1-gen-2024 | Balloccu, G.; Boratto, L.; Fenu, G.; Malloci, F. M.; Marras, M. | - | Springer Science and Business Media Deutschland GmbH |
| International workshop on algorithmic bias in search and recommendation (BIAS) | 1-gen-2024 | Bellogin, A.; Boratto, L.; Kleanthous, S.; Lex, E.; Malloci, F. M.; Marras, M. | - | Association for Computing Machinery, Inc |
| AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders | 1-gen-2024 | Gomez, E.; Contreras, D.; Boratto, L.; Salamo, M. | - | Association for Computing Machinery, Inc |
| Learner-centered ontology for explainable educational recommendation | 1-gen-2024 | Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Malloci, F. M.; Marras, M.; Martis, A. G. | - | Association for Computing Machinery, Inc |
| A Comparative Analysis of Text-Based Explainable Recommender Systems | 1-gen-2024 | Ariza-Casabona, A.; Boratto, L.; Salamo, M. | - | Association for Computing Machinery, Inc |
| Robustness in fairness against edge-level perturbations in GNN-based recommendation | 1-gen-2024 | Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G. | - | Springer |
| First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) | 1-gen-2024 | Boratto, L.; Malitesta, D.; Marras, M.; Medda, G.; Musto, C.; Purificato, E. | - | Springer Science and Business Media Deutschland GmbH |
| Bringing equity to coarse and fine-grained provider groups in recommender systems | 1-gen-2024 | Gomez, E.; Contreras, D.; Salamo, M.; Boratto, L. | - | Association for Computing Machinery, Inc |
| EDGE: A conversational interface driven by Large Language Models for educational knowledge graphs exploration | 1-gen-2024 | Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Malloci, F. M.; Marras, M.; Martis, A. G. | - | Association for Computing Machinery |
| User Perceptions of Diversity in Recommender Systems | 1-gen-2024 | Dokoupil, P.; Boratto, L.; Peska, L. | - | Association for Computing Machinery, Inc |
| First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024) | 1-gen-2024 | Boratto, L.; De Filippo, A.; Lex, E.; Ricci, F. | - | Association for Computing Machinery, Inc |
| A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation | 1-gen-2024 | Boratto, L.; Cerniglia, G.; Marras, M.; Perniciano, A.; Pes, B. | - | SPRINGER INTERNATIONAL PUBLISHING AG |
| Evaluating Group Recommender Systems | 1-gen-2024 | Trattner, C.; Said, A.; Boratto, L.; Felfernig, A. | - | Springer Science and Business Media Deutschland GmbH |
| Preface on the special issue on group recommender systems | 1-gen-2024 | Boratto, L.; Felfernig, A.; Stettinger, M.; Tkalcic, M. | USER MODELING AND USER-ADAPTED INTERACTION | - |
| 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 |
| 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 |
| Towards Explainable Educational Recommendation through Path Reasoning Methods | 1-gen-2023 | Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M. | - | CEUR-WS |
| Consumer Fairness Benchmark in Recommendation | 1-gen-2023 | Boratto, L.; Fenu, G.; Marras, M.; Medda, G. | - | 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 | - |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems | 1-gen-2023 | Dokoupil, P.; Peska, L.; Boratto, L. | - | Association for Computing Machinery |
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