Ludovico Boratto

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 143

Top Venues

Publications

Elizabeth Gómez, David Contreras, Maria Salamó, Ludovico Boratto
Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems. UMAP (2024)
Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato
Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024. SIGIR Forum 58 (1) (2024)
Alex Martinez, Mihnea Tufis, Ludovico Boratto
Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering. SIGIR (2024)
Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. ECIR (3) (2024)
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
User Modeling and User Profiling: A Comprehensive Survey. CoRR (2024)
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends. UMAP (Adjunct Publication) (2024)
Guilherme Ramos, Mirko Marras, Ludovico Boratto
Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches. SIGIR (2024)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras
Explainable Recommender Systems with Knowledge Graphs and Language Models. ECIR (5) (2024)
Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó
MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. CoRR (2024)
Ludovico Boratto, Alexander Felfernig, Martin Stettinger, Marko Tkalcic
Preface on the special issue on group recommender systems. User Model. User Adapt. Interact. 34 (3) (2024)
Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
User Perceptions of Diversity in Recommender Systems. UMAP (2024)
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks. Minds Mach. 34 (3) (2024)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. ECIR (3) (2024)
Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis
Learner-centered Ontology for Explainable Educational Recommendation. UMAP (Adjunct Publication) (2024)
Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato
First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). ECIR (5) (2024)
Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation. CoRR (2024)
Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó
MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. ECIR (1) (2024)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation. CoRR (2024)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. SIGIR (2024)
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). SIGIR (2024)
Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto
Bias characterization, assessment, and mitigation in location-based recommender systems. Data Min. Knowl. Discov. 37 (5) (2023)
Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. SIGIR (2023)
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks. DP@AI*IA (2023)
Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR (2023)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CIKM (2023)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. Knowl. Based Syst. 260 (2023)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. SIGIR (2023)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR (2023)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. CoRR (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. ECIR (3) (2023)
Ernesto William De Luca, Erasmo Purificato, Ludovico Boratto, Stefano Marrone, Carlo Sansone
First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U). CHItaly (2023)
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges. CIKM (2023)
Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. RecSys (2023)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Consumer Fairness Benchmark in Recommendation. IIR (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods. IIR (2023)
Alejandro Ariza-Casabona, Maria Salamó, Ludovico Boratto, Gianni Fenu
Towards Self-Explaining Sequence-Aware Recommendation. RecSys (2023)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). ECIR (3) (2023)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. RecSys (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph. CoRR (2023)
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives. UMAP (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. CoRR (2023)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Practical perspectives of consumer fairness in recommendation. Inf. Process. Manag. 60 (2) (2023)
Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Towards Explainable Educational Recommendation through Path Reasoning Methods. IIR (2023)
Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Guilherme Ramos
Enabling cross-continent provider fairness in educational recommender systems. Future Gener. Comput. Syst. 127 (2022)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. CoRR (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Hands on Explainable Recommender Systems with Knowledge Graphs. RecSys (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
: A framework for path reasoning quality in explainable recommendation. Softw. Impacts 14 (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. CoRR (2022)
Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations. Int. J. Artif. Intell. Educ. 32 (3) (2022)
Joaquin Dario Silveira, Maria Salamó, Ludovico Boratto
Enabling Reproducibility in Group Recommender Systems. CCIA (2022)
Elizabeth Gómez, Ludovico Boratto, Maria Salamó
Provider fairness across continents in collaborative recommender systems. Inf. Process. Manag. 59 (1) (2022)
Guilherme Ramos, Ludovico Boratto, Mirko Marras
Robust Reputation Independence in Ranking Systems for Multiple Sensitive Attributes. CoRR (2022)
João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Alejandro Bellogín, Ludovico Boratto, Olga C. Santos, Liliana Ardissono, Bart P. Knijnenburg
ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization. SIGWEB Newsl. 2022 (Autumn) (2022)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. Inf. Process. Manag. 59 (1) (2022)
Guilherme Ramos, Ludovico Boratto, Mirko Marras
Robust reputation independence in ranking systems for multiple sensitive attributes. Mach. Learn. 111 (10) (2022)
Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni
Fair performance-based user recommendation in eCoaching systems. User Model. User Adapt. Interact. 32 (5) (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality. CoRR (2022)
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling. CIKM (2022)
Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
Regulating Group Exposure for Item Providers in Recommendation. SIGIR (2022)
Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
Regulating Group Exposure for Item Providers in Recommendation. CoRR (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. IIR (2022)
Alejandro Bellogín, Ludovico Boratto, Federica Cena
33rd ACM conference on hypertext and social media. SIGWEB Newsl. 2022 (Autumn) (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. SIGIR (2022)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). ECIR (2) (2022)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. ECIR (1) (2022)
Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. CoRR (2021)
Ludovico Boratto, Mirko Marras
Advances in Bias-aware Recommendation on the Web. WSDM (2021)
Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. ICWSM (2021)
Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Mirko Marras
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. SIGIR (2021)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). ECIR (2) (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Interplay between upsampling and regularization for provider fairness in recommender systems. User Model. User Adapt. Interact. 31 (3) (2021)
Ludovico Boratto, Mirko Marras
Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. ICDE (2021)
Guilherme Ramos, Ludovico Boratto, Mirko Marras
Reputation Equity in Ranking Systems. CIKM (2021)
Luca Piras, Ludovico Boratto, Guilherme Ramos
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. CIKM (2021)
Mihnea Tufis, Ludovico Boratto
Toward a Complete Data Valuation Process. Challenges of Personal Data. ACM J. Data Inf. Qual. 13 (4) (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. IIR (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Connecting user and item perspectives in popularity debiasing for collaborative recommendation. Inf. Process. Manag. 58 (1) (2021)
Elizabeth Gómez, Ludovico Boratto, Maria Salamó
Disparate Impact in Item Recommendation: A Case of Geographic Imbalance. ECIR (1) (2021)
David Contreras, Maria Salamó, Ludovico Boratto
Integrating Collaboration and Leadership in Conversational Group Recommender Systems. ACM Trans. Inf. Syst. 39 (4) (2021)
Alejandro Ariza, Francesco Fabbri, Ludovico Boratto, Maria Salamó
From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. ECIR (2) (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems. CoRR (2020)
Ludovico Boratto, Salvatore Carta, Federico Ibba, Fabrizio Mulas, Paolo Pilloni
Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users' sharing behavior on Facebook. User Model. User Adapt. Interact. 30 (3) (2020)
Ludovico Boratto, Matteo Manca, Giuseppe Lugano, Marián Gogola
Characterizing user behavior in journey planning. Computing 102 (5) (2020)
Marc Güell, Maria Salamó, David Contreras, Ludovico Boratto
Integrating a cognitive assistant within a critique-based recommender system. Cogn. Syst. Res. 64 (2020)
Guilherme Ramos, Ludovico Boratto
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. SIGIR (2020)
Ludovico Boratto, Mirko Marras
Hands on Data and Algorithmic Bias in Recommender Systems. UMAP (2020)
Silvia Basile, Cristian Consonni, Matteo Manca, Ludovico Boratto
Matching User Preferences and Behavior for Mobility. HT (2020)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation. CoRR (2020)
João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro
A Robust Reputation-based Group Ranking System and its Resistance to Bribery. CoRR (2020)
Guilherme Ramos, Ludovico Boratto
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. CoRR (2020)
Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
ECIR 2020 Workshops: Assessing the Impact of Going Online. CoRR (2020)
Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo
The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM (2020)
Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
Equality of Learning Opportunity in Personalized Recommendations. CoRR (2020)
Francesca Maridina Malloci, Laura Portell Penadés, Ludovico Boratto, Gianni Fenu
A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects. WISE (2) (2020)
Guilherme Ramos, Ludovico Boratto, Carlos Caleiro
On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms. Inf. Process. Manag. 57 (2) (2020)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). SIGIR Forum 54 (1) (2020)
Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
ECIR 2020 workshops: assessing the impact of going online. SIGIR Forum 54 (1) (2020)
Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo
International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). ECIR (2) (2020)
Ludovico Boratto, Eloisa Vargiu
Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems. J. Intell. Inf. Syst. 54 (1) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ludovico Boratto