Ludovico Boratto

230 papers A* 15A 37B 1C 2Misc 2Journal 85Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Reproducible and Fair Evaluation of Partition-Aware Collaborative Filtering. ECIR (3) Domenico de Gioia, Claudio Pomo, Ludovico Boratto, Tommaso Di Noia
2026	A*	`conf`	Auditing Textual Context in Sequence-Aware Explainable Recommendation. WWW Alejandro Ariza-Casabona, Maria Salamó, Ludovico Boratto
2026	—	`conf`	Bribery-Resistant Ranking Systems: A Multipartite User-Agnostic Framework for AI Act Compliance. ECIR (1) Martim Baltazar, Ludovico Boratto, Mirko Marras, Guilherme Ramos
2026	J	`jnl`	Ensuring provider fairness in recommender systems across coarse- and fine-grained groups. Int. J. Hum. Comput. Stud. Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó
2026	C	`conf`	Evaluating Generalizability of Convolutional Deep Learning Models for Plant Disease Classification. ICPRAM Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Marco Tocco
2026	—	`conf`	FoodNexus: Massive Food Knowledge for Recommender Systems. ECIR (4) Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda, Giovanni Zedda
2026	—	`conf`	GREAT: A Group Recommendation Evaluation and Analysis Tool. ECIR (4) Ariel Smith, David Contreras, Maria Salamó, Ludovico Boratto
2026	—	`ed.`	Recommender Systems for Sustainability and Social Good - Second International Workshop, RecSoGood 2025, Prague, Czech Republic, September 26, 2025, Proceedings RecSoGood@RecSys Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Noemi Mauro, Francesca Maridina Malloci, Francesco Ricci
2026	J	`jnl`	Recommender systems and sustainability: a dual perspective. Comput. Sci. Rev. Allegra De Filippo, Giuseppe Spillo, Ludovico Boratto, Michela Milano, Cataldo Musto, Giovanni Semeraro
2026	J	`jnl`	The ACM Hypertext 2025 Conference Report. SIGWEB Newsl. Yong Zheng, Ludovico Boratto
2025	J	`jnl`	A Reproducible and Fair Evaluation of Partition-aware Collaborative Filtering. CoRR Domenico de Gioia, Claudio Pomo, Ludovico Boratto, Tommaso Di Noia
2025	J	`jnl`	ACM Conference on Hypertext and INTR/HT Summer School, September 2025, Chicago, USA. SIGWEB Newsl. Yong Zheng, Ludovico Boratto
2025	J	`jnl`	Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems. Inf. Process. Manag. Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2025	A	`conf`	Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case Study. UMAP Lalit Kishore Vyas, Ludovico Boratto
2025	—	`ed.`	Adjunct Proceedings of the 36th ACM Conference on Hypertext and Social Media, HT Adjunct 2025, Chicago, IL, USA, September 15-19, 2025 HT Adjunct Yong Zheng, Ludovico Boratto
2025	—	`ed.`	Advances in Bias and Fairness in Information Retrieval - 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers BIAS Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2025	—	`ed.`	Advances on Graph-Based Approaches in Information Retrieval - First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings IRonGraphs Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato
2025	A	`conf`	Auditing Recommender Systems for User Empowerment in Very Large Online Platforms under the Digital Services Act. RecSys Matteo Fabbri, Ludovico Boratto
2025	A	`conf`	Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism. RecSys Ibrahim Al Hazwani, Daniel Lutziger, Carlos Kirchdorfer, Luca Huber, Oliver Robin Aschwanden, Jürgen Bernard, Ludovico Boratto
2025	A	`conf`	Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? UMAP Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis
2025	—	`conf`	Confidential Retrieval-Augmented Generation in Educational Contexts. WAILS Ludovico Boratto, Francesco Congiu, Gianni Fenu, Giacomo Medda, Antonello Pau
2025	—	`conf`	Data Access under the EU Digital Services Act and its Impact on User Modelling Research. UMAP (Adjunct Publication) Erasmo Purificato, Ludovico Boratto, João Vinagre
2025	—	`conf`	Effective and Transparent Course Recommendation through Causal Reasoning with Language Models. IIR Neda Afreen, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol
2025	—	`conf`	Enhancing Digital Literacy Through Retrieval-Augmented Generation. WAILS Marco Cabras, Ludovico Boratto, Salvatore M. Carta, Mirko Marras
2025	J	`jnl`	Enhancing recommender systems with provider fairness through preference distribution-awareness. Int. J. Inf. Manag. Data Insights Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó
2025	—	`conf`	Facilitating Information Extraction in Education by Translating Questions from Students, Instructors, and Managers Into Knowledge Graph Queries Through Large Language Models. WAILS Ludovico Boratto, Gianni Fenu, Theo Floris, Francesca Maridina Malloci, Andrea Giovanni Martis, Marco Sau, Marco Tocco
2025	A	`conf`	GNN's FAME: Fairness-Aware MEssages for Graph Neural Networks. UMAP Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto, Ernesto William De Luca
2025	J	`jnl`	GNNFairViz: Visual Analysis for Graph Neural Network Fairness. IEEE Trans. Vis. Comput. Graph. Xinwu Ye, Jielin Feng, Erasmo Purificato, Ludovico Boratto, Michael Kamp, Zengfeng Huang, Siming Chen
2025	J	`jnl`	GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. ACM Trans. Intell. Syst. Technol. Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu
2025	A	`conf`	GreenFoodLens: Sustainability Labels for Food Recommendation. RecSys Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda, Giovanni Murgia
2025	A	`conf`	How Do Users Perceive Recommender Systems' Objectives? RecSys Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2025	A	`conf`	How Fair is Your Diffusion Recommender Model? RecSys Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Mirko Marras, Fragkiskos D. Malliaros, Ludovico Boratto
2025	—	`conf`	Human-Centered and Sustainable Recommender Systems. UMAP (Adjunct Publication) Allegra De Filippo, Ludovico Boratto, Giuseppe Spillo
2025	A*	`conf`	International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025). SIGIR Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2025	—	`conf`	Low-Resource Course Recommendation for Professional Training Associations. WAILS Ludovico Boratto, Gianni Fenu, Nicoló Marongiu, Giacomo Medda, Alessandro Soccol
2025	—	`conf`	PHaSE Project - Promoting Healthy and Sustainable Eating through Interactive and Explainable AI Methods. UMAP (Adjunct Publication) Cataldo Musto, Amon Rapp, Ludovico Boratto
2025	A	`conf`	PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations. RecSys Ibrahim Al Hazwani, Oliver Robin Aschwanden, Oana Inel, Jürgen Bernard, Ludovico Boratto
2025	A*	`conf`	Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations. SIGIR Guilherme Ramos, Ludovico Boratto, Mirko Marras
2025	—	`ed.`	Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), Cagliari, Italy, September 3-5, 2025. IIR Ludovico Boratto, Allegra De Filippo, Stefano Marchesin, Mirko Marras
2025	—	`ed.`	Proceedings of the 36th ACM Conference on Hypertext and Social Media, HT 2025, Chicago, IL, USA, September 15-18, 2025 HT Yong Zheng, Ludovico Boratto, Charlie Hargood, Dongwon Lee
2025	—	`ed.`	Recommender Systems for Sustainability and Social Good - First International Workshop, RecSoGood 2024, Bari, Italy, October 18, 2024, Proceedings RecSoGood@RecSys Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci
2025	J	`jnl`	Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation. IEEE Trans. Big Data Guilherme Ramos, Ludovico Boratto, Mirko Marras
2025	A	`conf`	Second International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2025). RecSys Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesca Maridina Malloci, Noemi Mauro, Francesco Ricci
2025	A*	`conf`	Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism. SIGIR Ludovico Boratto, Federica Cena, Mirko Marras, Noemi Mauro, Giacomo Medda
2025	A	`conf`	hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs. CIKM Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda, Alessandro Soccol
2024	A	`conf`	A Comparative Analysis of Text-Based Explainable Recommender Systems. RecSys Alejandro Ariza-Casabona, Ludovico Boratto, Maria Salamó
2024	J	`jnl`	A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation. CoRR Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
2024	—	`conf`	A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. ECIR (3) Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
2024	A	`conf`	AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders. RecSys Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó
2024	A	`conf`	Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems. UMAP Elizabeth Gómez, David Contreras, Maria Salamó, Ludovico Boratto
2024	—	`conf`	Comparing User Interfaces for Customizing Multi-Objective Recommender Systems. IntRS@RecSys Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2024	—	`conf`	Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. IIR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	J	`jnl`	Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems. Data Min. Knowl. Discov. Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto
2024	—	`conf`	DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. RecSys Challenge Antonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio De Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci
2024	A	`conf`	EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration. CIKM Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis
2024	—	`conf`	Explainable Recommender Systems with Knowledge Graphs and Language Models. ECIR (5) Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras
2024	A	`conf`	Fair Augmentation for Graph Collaborative Filtering. RecSys Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	J	`jnl`	Fair Augmentation for Graph Collaborative Filtering. CoRR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	—	`conf`	First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). ECIR (5) Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato
2024	A	`conf`	First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). RecSys Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci
2024	J	`jnl`	How Fair is Your Diffusion Recommender Model? CoRR Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Ludovico Boratto, Fragkiskos D. Malliaros, Mirko Marras, Ernesto William De Luca
2024	A*	`conf`	International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). SIGIR Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2024	A	`conf`	KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation. RecSys Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol
2024	—	`conf`	Knowledge Data Modeling in Food Recommendation: A Case Study on Nutritional Values. RecSoGood@RecSys Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda, Giovanni Murgia
2024	—	`conf`	Learner-centered Ontology for Explainable Educational Recommendation. UMAP (Adjunct Publication) Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis
2024	—	`conf`	MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. ECIR (1) Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó
2024	J	`jnl`	MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. CoRR Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó
2024	—	`conf`	Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends. UMAP (Adjunct Publication) Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2024	J	`jnl`	Preface on the special issue on group recommender systems. User Model. User Adapt. Interact. Ludovico Boratto, Alexander Felfernig, Martin Stettinger, Marko Tkalcic
2024	J	`jnl`	Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024. SIGIR Forum Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato
2024	J	`jnl`	Report on the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024) at SIGIR 2024. SIGIR Forum Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2024	—	`conf`	Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. ECIR (3) Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	J	`jnl`	Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation. CoRR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	A*	`conf`	SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. SIGIR Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2024	J	`jnl`	Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks. Minds Mach. Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2024	A*	`conf`	Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches. SIGIR Guilherme Ramos, Mirko Marras, Ludovico Boratto
2024	A*	`conf`	Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering. SIGIR Alex Martinez, Mihnea Tufis, Ludovico Boratto
2024	J	`jnl`	User Modeling and User Profiling: A Comprehensive Survey. CoRR Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2024	A	`conf`	User Perceptions of Diversity in Recommender Systems. UMAP Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2023	—	`ed.`	Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers BIAS Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2023	J	`jnl`	Bias characterization, assessment, and mitigation in location-based recommender systems. Data Min. Knowl. Discov. Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto
2023	—	`conf`	Consumer Fairness Benchmark in Recommendation. IIR Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
2023	A	`conf`	Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CIKM Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2023	J	`jnl`	Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2023	A*	`conf`	FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. SIGIR Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2023	J	`jnl`	Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph. CoRR Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
2023	—	`conf`	First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U). CHItaly Ernesto William De Luca, Erasmo Purificato, Ludovico Boratto, Stefano Marrone, Carlo Sansone
2023	—	`conf`	Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). ECIR (3) Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2023	J	`jnl`	GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu
2023	—	`conf`	Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. ECIR (3) Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
2023	J	`jnl`	Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. CoRR Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
2023	—	`conf`	Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods. IIR Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
2023	A	`conf`	Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges. CIKM Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2023	A	`conf`	Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. RecSys Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023	J	`jnl`	Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. CoRR Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023	J	`jnl`	Practical perspectives of consumer fairness in recommendation. Inf. Process. Manag. Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
2023	—	`ed.`	Proceedings of the First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U 2023) co-located with the 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2023), Turin, Italy, September 20, 2023. HCAI4U@CHItaly Ernesto William De Luca, Erasmo Purificato, Ludovico Boratto, Stefano Marrone, Carlo Sansone
2023	—	`conf`	Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks. DP@AI*IA Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2023	J	`jnl`	Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. Knowl. Based Syst. Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
2023	A	`conf`	Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. RecSys Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia
2023	A*	`conf`	Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. SIGIR Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023	—	`conf`	Towards Explainable Educational Recommendation through Path Reasoning Methods. IIR Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
2023	A	`conf`	Towards Self-Explaining Sequence-Aware Recommendation. RecSys Alejandro Ariza-Casabona, Maria Salamó, Ludovico Boratto, Gianni Fenu
2023	A	`conf`	Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives. UMAP Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2022	J	`jnl`	33rd ACM conference on hypertext and social media. SIGWEB Newsl. Alejandro Bellogín, Ludovico Boratto, Federica Cena
2022	J	`jnl`	A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery. ACM Trans. Knowl. Discov. Data João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro
2022	J	`jnl`	ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization. SIGWEB Newsl. Alejandro Bellogín, Ludovico Boratto, Olga C. Santos, Liliana Ardissono, Bart P. Knijnenburg
2022	—	`ed.`	Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers BIAS Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2022	—	`conf`	Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. ECIR (1) Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
2022	J	`jnl`	Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. CoRR Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
2022	A	`conf`	Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling. CIKM Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
2022	—	`conf`	Enabling Reproducibility in Group Recommender Systems. CCIA Joaquin Dario Silveira, Maria Salamó, Ludovico Boratto
2022	J	`jnl`	Enabling cross-continent provider fairness in educational recommender systems. Future Gener. Comput. Syst. Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Guilherme Ramos
2022	J	`jnl`	Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations. Int. J. Artif. Intell. Educ. Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
2022	J	`jnl`	Fair performance-based user recommendation in eCoaching systems. User Model. User Adapt. Interact. Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni
2022	J	`jnl`	Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. Inf. Process. Manag. Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2022	—	`ed.`	HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022 HT Alejandro Bellogín, Ludovico Boratto, Federica Cena
2022	A	`conf`	Hands on Explainable Recommender Systems with Knowledge Graphs. RecSys Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
2022	A*	`conf`	Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. SIGIR Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
2022	J	`jnl`	Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. CoRR Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
2022	J	`jnl`	Provider fairness across continents in collaborative recommender systems. Inf. Process. Manag. Elizabeth Gómez, Ludovico Boratto, Maria Salamó
2022	—	`conf`	Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. IIR Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
2022	A*	`conf`	Regulating Group Exposure for Item Providers in Recommendation. SIGIR Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
2022	J	`jnl`	Regulating Group Exposure for Item Providers in Recommendation. CoRR Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
2022	J	`jnl`	Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality. CoRR Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
2022	J	`jnl`	Robust Reputation Independence in Ranking Systems for Multiple Sensitive Attributes. CoRR Guilherme Ramos, Ludovico Boratto, Mirko Marras
2022	J	`jnl`	Robust reputation independence in ranking systems for multiple sensitive attributes. Mach. Learn. Guilherme Ramos, Ludovico Boratto, Mirko Marras
2022	—	`conf`	Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). ECIR (2) Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2022	A	`ed.`	UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4 - 7, 2022 UMAP Alejandro Bellogín, Ludovico Boratto, Olga C. Santos, Liliana Ardissono, Bart P. Knijnenburg
2021	—	`ed.`	Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings BIAS Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2021	A	`conf`	Advances in Bias-aware Recommendation on the Web. WSDM Ludovico Boratto, Mirko Marras
2021	—	`conf`	Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. IIR Ludovico Boratto, Gianni Fenu, Mirko Marras
2021	J	`jnl`	Connecting user and item perspectives in popularity debiasing for collaborative recommendation. Inf. Process. Manag. Ludovico Boratto, Gianni Fenu, Mirko Marras
2021	A*	`conf`	Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. ICDE Ludovico Boratto, Mirko Marras
2021	—	`conf`	Disparate Impact in Item Recommendation: A Case of Geographic Imbalance. ECIR (1) Elizabeth Gómez, Ludovico Boratto, Maria Salamó
2021	A	`conf`	Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. CIKM Luca Piras, Ludovico Boratto, Guilherme Ramos
2021	—	`conf`	From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. ECIR (2) Alejandro Ariza, Francesco Fabbri, Ludovico Boratto, Maria Salamó
2021	J	`jnl`	Integrating Collaboration and Leadership in Conversational Group Recommender Systems. ACM Trans. Inf. Syst. David Contreras, Maria Salamó, Ludovico Boratto
2021	J	`jnl`	Interplay between upsampling and regularization for provider fairness in recommender systems. User Model. User Adapt. Interact. Ludovico Boratto, Gianni Fenu, Mirko Marras
2021	A	`conf`	Reputation Equity in Ranking Systems. CIKM Guilherme Ramos, Ludovico Boratto, Mirko Marras
2021	—	`conf`	Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). ECIR (2) Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2021	A*	`conf`	The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. SIGIR Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Mirko Marras
2021	J	`jnl`	Toward a Complete Data Valuation Process. Challenges of Personal Data. ACM J. Data Inf. Qual. Mihnea Tufis, Ludovico Boratto
2021	A	`conf`	What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. ICWSM Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
2021	J	`jnl`	What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. CoRR Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
2020	J	`jnl`	A Robust Reputation-based Group Ranking System and its Resistance to Bribery. CoRR João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro
2020	—	`conf`	A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects. WISE (2) Francesca Maridina Malloci, Laura Portell Penadés, Ludovico Boratto, Gianni Fenu
2020	—	`ed.`	Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, 2020, Proceedings BIAS Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2020	J	`jnl`	Characterizing user behavior in journey planning. Computing Ludovico Boratto, Matteo Manca, Giuseppe Lugano, Marián Gogola
2020	J	`jnl`	Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation. CoRR Ludovico Boratto, Gianni Fenu, Mirko Marras
2020	J	`jnl`	Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems. J. Intell. Inf. Syst. Ludovico Boratto, Eloisa Vargiu
2020	J	`jnl`	ECIR 2020 Workshops: Assessing the Impact of Going Online. CoRR 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
2020	J	`jnl`	ECIR 2020 workshops: assessing the impact of going online. SIGIR Forum 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
2020	J	`jnl`	Equality of Learning Opportunity in Personalized Recommendations. CoRR Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
2020	A	`conf`	Hands on Data and Algorithmic Bias in Recommender Systems. UMAP Ludovico Boratto, Mirko Marras
2020	J	`jnl`	Integrating a cognitive assistant within a critique-based recommender system. Cogn. Syst. Res. Marc Güell, Maria Salamó, David Contreras, Ludovico Boratto
2020	—	`conf`	International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). ECIR (2) Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo
2020	J	`jnl`	Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems. CoRR Ludovico Boratto, Gianni Fenu, Mirko Marras
2020	—	`conf`	Matching User Preferences and Behavior for Mobility. HT Silvia Basile, Cristian Consonni, Matteo Manca, Ludovico Boratto
2020	J	`jnl`	Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users' sharing behavior on Facebook. User Model. User Adapt. Interact. Ludovico Boratto, Salvatore Carta, Federico Ibba, Fabrizio Mulas, Paolo Pilloni
2020	J	`jnl`	On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms. Inf. Process. Manag. Guilherme Ramos, Ludovico Boratto, Carlos Caleiro
2020	J	`jnl`	Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). SIGIR Forum Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
2020	A*	`conf`	Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. SIGIR Guilherme Ramos, Ludovico Boratto
2020	J	`jnl`	Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. CoRR Guilherme Ramos, Ludovico Boratto
2020	A	`conf`	The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo
2019	J	`jnl`	Advances in computer-human interaction for recommender systems (AdCHIReS). Int. J. Hum. Comput. Stud. Lucio Davide Spano, Ludovico Boratto
2019	—	`conf`	Distance-Aware Event Recommendation in Event-Based Social Networks. CCIA Oriol Jiménez, Maria Salamó, Ludovico Boratto
2019	J	`jnl`	Guest editorial: social media for personalization and search. Inf. Retr. J. Ludovico Boratto, Andreas Kaltenbrunner, Giovanni Stilo
2019	—	`conf`	The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses. ECIR (1) Ludovico Boratto, Gianni Fenu, Mirko Marras
2019	J	`jnl`	Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations. IEEE Trans. Emerg. Top. Comput. Lorena Recalde, Jonathan Mendieta, Ludovico Boratto, Luis Terán, Carmen Vaca, Gabriela Baquerizo
2018	J	`jnl`	A multi-biometric system for continuous student authentication in e-learning platforms. Pattern Recognit. Lett. Gianni Fenu, Mirko Marras, Ludovico Boratto
2018	—	`conf`	BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration. WWW (Companion Volume) Mirko Marras, Matteo Manca, Ludovico Boratto, Gianni Fenu, David Laniado
2018	J	`jnl`	Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system. Inf. Syst. Frontiers Matteo Manca, Ludovico Boratto, Salvatore Carta
2018	A	`conf`	Employing Document Embeddings to Solve the "New Catalog" Problem in User Targeting, and Provide Explanations to the Users. ECIR Ludovico Boratto, Salvatore Carta, Gianni Fenu, Luca Piras
2018	—	`ch.`	Group Recommendations. Collaborative Recommendations Ludovico Boratto, Alexander Felfernig
2018	J	`jnl`	Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era. Inf. Syst. Frontiers Ludovico Boratto, Salvatore Carta, Andreas Kaltenbrunner, Matteo Manca
2018	—	`conf`	NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. SEBD Giuliano Armano, Sebastiano Battiato, Davide Bennato, Ludovico Boratto, Salvatore M. Carta, Tommaso Di Noia, Eugenio Di Sciascio, Alessandro Ortis, Diego Reforgiato Recupero
2018	—	`conf`	Predicting Workout Quality to Help Coaches Support Sportspeople. HealthRecSys@RecSys Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni
2018	—	`conf`	Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). CIKM Workshops Ludovico Boratto, Stefano Faralli, Christian Morbidoni, Gabriella Pasi, Giovanni Stilo
2018	J	`jnl`	Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation. Computer Paolo Pilloni, Luca Piras, Salvatore Carta, Gianni Fenu, Fabrizio Mulas, Ludovico Boratto
2018	J	`jnl`	Report on the Workshop on Social Aspects in Personalization And Search (SoAPS). SIGIR Forum Ludovico Boratto, Giovanni Stilo
2017	J	`jnl`	An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes. Pers. Ubiquitous Comput. Ludovico Boratto, Salvatore Carta, Fabrizio Mulas, Paolo Pilloni
2017	—	`conf`	Detection of Trending Topic Communities: Bridging Content Creators and Distributors. HT Lorena Recalde, David F. Nettleton, Ricardo Baeza-Yates, Ludovico Boratto
2017	J	`jnl`	Detection of Trending Topic Communities: Bridging Content Creators and Distributors. CoRR Lorena Recalde, David F. Nettleton, Ricardo Baeza-Yates, Ludovico Boratto
2017	J	`jnl`	Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios. Inf. Sci. Ludovico Boratto, Salvatore Carta, Gianni Fenu
2017	J	`jnl`	Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System. J. Comput. Roberto Saia, Ludovico Boratto, Salvatore Carta
2017	—	`ed.`	Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017), Lisbon, Portugal, June 26, 2017. EnCHIReS@EICS Ludovico Boratto, Salvatore Carta, Gianni Fenu
2017	—	`ed.`	Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval, SoMePeAS@ECIR 2017, Aberdeen, Scotland, UK, April 9, 2017. SoMePeAS@ECIR Ludovico Boratto, Andreas Kaltenbrunner, Giovanni Stilo
2017	—	`conf`	Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. HealthRecSys@RecSys Paolo Pilloni, Luca Piras, Ludovico Boratto, Salvatore Carta, Gianni Fenu, Fabrizio Mulas
2017	J	`jnl`	Report on the Workshop on Social Media for Personalization And Search (SoMePeAS). SIGIR Forum Ludovico Boratto, Andreas Kaltenbrunner, Giovanni Stilo
2017	Misc	`conf`	Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS). EICS Ludovico Boratto, Salvatore Carta, Gianni Fenu
2017	J	`jnl`	Semantics-aware content-based recommender systems: Design and architecture guidelines. Neurocomputing Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia
2017	J	`jnl`	The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle. Pervasive Mob. Comput. Ludovico Boratto, Salvatore Carta, Gianni Fenu, Matteo Manca, Fabrizio Mulas, Paolo Pilloni
2017	—	`conf`	Towards Chatbots as Recommendation Interfaces. EnCHIReS@EICS Maurizio Atzori, Ludovico Boratto, Lucio Davide Spano
2017	J	`jnl`	Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study. Online Soc. Networks Media Matteo Manca, Ludovico Boratto, Victor Morell Roman, Oriol Martori i Gallissà, Andreas Kaltenbrunner
2016	—	`conf`	A Tool to Analyze the Reading Behavior of the Users in a Mobile Digital Publishing Platform. KDWeb Ludovico Boratto, Mattia Cadeddu, Salvatore Carta, Gianni Deplano, Fabio Mereu
2016	J	`jnl`	A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system. J. Intell. Inf. Syst. Roberto Saia, Ludovico Boratto, Salvatore Carta
2016	—	`conf`	Analysis of the Properties that Affect the Accuracy of a Group Recommender System. GSCIT Ludovico Boratto, Salvatore Carta, Gianni Fenu
2016	J	`jnl`	Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting. Future Gener. Comput. Syst. Roberto Saia, Ludovico Boratto, Salvatore Carta, Gianni Fenu
2016	J	`jnl`	Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering. Future Gener. Comput. Syst. Ludovico Boratto, Salvatore Carta, Gianni Fenu
2016	—	`conf`	Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items. ICDM Workshops Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia
2016	—	`conf`	Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy. GSCIT Roberto Saia, Ludovico Boratto, Salvatore Carta
2016	A	`conf`	Group Recommender Systems. RecSys Ludovico Boratto
2016	A	`conf`	Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges. ECIR Ludovico Boratto
2016	—	`conf`	Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion. EnCHIReS@EICS Ludovico Boratto, Salvatore Carta, Roberto Saia
2016	J	`jnl`	Influence of Rating Prediction on Group Recommendation's Accuracy. IEEE Intell. Syst. Ludovico Boratto, Salvatore Carta, Gianni Fenu, Fabrizio Mulas, Paolo Pilloni
2016	J	`jnl`	Introduction to the Special Issue on Human-Computer Interaction and the Social Web. Future Internet Salvatore Carta, Ludovico Boratto
2016	—	`conf`	Keep the Beat: Audio Guidance for Runner Training. HCSE/HESSD Luca Balvis, Ludovico Boratto, Fabrizio Mulas, Lucio Davide Spano, Salvatore Carta, Gianni Fenu
2016	—	`ed.`	Proceedings of the Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the eight ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EnCHIReS@EICS 2016, Bruxelles, Belgium, June 21, 2016. EnCHIReS@EICS Ludovico Boratto, Lucio Davide Spano, Salvatore Carta, Gianni Fenu
2016	—	`conf`	Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence. RecSys Posters Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia
2016	J	`jnl`	Using neural word embeddings to model user behavior and detect user segments. Knowl. Based Syst. Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia
2016	Misc	`conf`	Workshop on engineering human-computer interaction in recommender systems. EICS Ludovico Boratto, Lucio Davide Spano, Salvatore Carta, Gianni Fenu
2015	—	`conf`	A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising. BigData Congress Roberto Saia, Ludovico Boratto, Salvatore Carta
2015	J	`jnl`	ART: group recommendation approaches for automatically detected groups. Int. J. Mach. Learn. Cybern. Ludovico Boratto, Salvatore Carta
2015	—	`conf`	Design Criteria to Model Groups in Big Data Scenarios: Algorithms and Best Practices. KDWeb Ludovico Boratto, Gianni Fenu, Pier Luigi Pau
2015	—	`conf`	Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams. KDIR Roberto Saia, Ludovico Boratto, Salvatore Carta
2015	J	`jnl`	The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation. J. Intell. Inf. Syst. Ludovico Boratto, Salvatore Carta
2014	B	`conf`	Impact of Content Novelty on the Accuracy of a Group Recommender System. DaWaK Ludovico Boratto, Salvatore Carta
2014	C	`conf`	Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System. DATA Matteo Manca, Ludovico Boratto, Salvatore Carta
2014	—	`conf`	Modeling the Preferences of a Group of Users Detected by Clustering: a Group Recommendation Case-Study. WIMS Ludovico Boratto, Salvatore Carta
2014	—	`conf`	Semantic Coherence-based User Profile Modeling in the Recommender Systems Context. KDIR Roberto Saia, Ludovico Boratto, Salvatore Carta
2014	—	`conf`	Using Behavioral Data Mining to Produce Friend Recommendations in a Social Bookmarking System. DATA (Revised Selected Papers) Matteo Manca, Ludovico Boratto, Salvatore Carta
2014	—	`conf`	Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System. ICEIS (2) Ludovico Boratto, Salvatore Carta
2013	—	`conf`	Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users. CogInfoCom Fabrizio Mulas, Paolo Pilloni, Matteo Manca, Ludovico Boratto, Salvatore Carta
2013	—	`conf`	Using new communication technologies and social media interaction to improve the motivation of users to exercise. FGCT Fabrizio Mulas, Paolo Pilloni, Matteo Manca, Ludovico Boratto, Salvatore Carta
2012	—	`—`	Group recommendation with automatic detection and classification of groups. Ludovico Boratto
2011	—	`ch.`	State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups. Information Retrieval and Mining in Distributed Environments Ludovico Boratto, Salvatore Carta
2010	—	`conf`	Groups Identification and Individual Recommendations in Group Recommendation Algorithms. PRSAT@RecSys Ludovico Boratto, Salvatore Carta, Michele Satta
2009	—	`conf`	Group Recommendation with Automatic Identification of Users Communities. Web Intelligence/IAT Workshops Ludovico Boratto, Salvatore Carta, Alessandro Chessa, Maurizio Agelli, Maria Laura Clemente
2009	—	`conf`	RATC: A Robust Automated Tag Clustering Technique. EC-Web Ludovico Boratto, Salvatore Carta, Eloisa Vargiu