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About Me
Ludovico Boratto is an Associate Professor of Computer Science at the University of Cagliari (Italy). His research interests focus on recommender systems and their impact on the different stakeholders, both considering accuracy and beyond-accuracy evaluation metrics. He has authored more than 60 papers and published his research in top-tier conferences and journals.
His research activity also brought him to give talks and tutorials at top-tier conferences and research centers (Yahoo! Research). He is editor of the book “Group Recommender Systems: An Introduction”, published by Springer. He is an editorial board member of the “Information Processing & Management” journal (Elsevier) and “Journal of Intelligent Information Systems” (Springer), and guest editor of several journals’ special issues. He is regularly part of the program committees of the main Web conferences, where he received eight outstanding contribution awards. In 2012, he got his Ph.D. at the University of Cagliari (Italy), where he was a research assistant until May 2016. From May 2016 to April 2021, he joined Eurecat as Senior Research Scientist in the Data Science and Big Data Analytics research group. In 2010 and 2014, he spent ten months at Yahoo! Research in Barcelona as a visiting researcher. He is a member of ACM and IEEE.
Publications (172)
| Document title | Author | Years | Source |
|---|---|---|---|
| Enhancing recommender systems with provider fairness through preference distribution-awareness | Gómez E., Contreras D., Boratto L., Salamó M., | 2025 | International Journal of Information Management Data Insights |
| Advances in Bias and Fairness in Information Retrieval: Preface | Bellogin A., Boratto L., Kleanthous S., Lex E., Malloci F.M., Marras M., | 2025 | Communications in Computer and Information Science |
| Advances on Graph-Based Approaches in Information Retrieval: Preface | Boratto L., Malitesta D., Marras M., Medda G., Musto C., Purificato E., | 2025 | Communications in Computer and Information Science |
| Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems (Data Mining and Knowledge Discovery, (2023), 37, 5, (1885-1929), 10.1007/s10618-022-00913-5) | Sánchez P., Bellogín A., Boratto L., | 2024 | Data Mining and Knowledge Discovery |
| EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration | Afreen N., Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Martis A.G., | 2024 | International Conference on Information and Knowledge Management, Proceedings |
| DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation | 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., | 2024 | ACM International Conference Proceeding Series |
| AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders | Gómez E., Contreras D., Boratto L., Salamó M., | 2024 | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
| KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation | Balloccu G., Boratto L., Fenu G., Marras M., Soccol A., | 2024 | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
| RecSys 2024 Chairs’ Welcome | 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., | 2024 | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
| A Comparative Analysis of Text-Based Explainable Recommender Systems | Ariza-Casabona A., Boratto L., Salamó M., | 2024 | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
| First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024) | Boratto L., De Filippo A., Lex E., Ricci F., | 2024 | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
| Fair Augmentation for Graph Collaborative Filtering | Boratto L., Fabbri F., Fenu G., Marras M., Medda G., | 2024 | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
| Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks | Purificato E., Boratto L., De Luca E.W., | 2024 | Minds and Machines |
| Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering | Martinez A., Tufis M., Boratto L., | 2024 | SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores | Dokoupil P., Peska L., Boratto L., | 2024 | SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches | Ramos G., Marras M., Boratto L., | 2024 | SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| International Workshop on Algorithmic Bias in Search and Recommendation (BIAS) | Bellogín A., Boratto L., Kleanthous S., Lex E., Malloci F.M., Marras M., | 2024 | SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Preface on the special issue on group recommender systems | Boratto L., Felfernig A., Stettinger M., Tkalčič M., | 2024 | User Modeling and User-Adapted Interaction |
| UMAP 2024 Chairs' Welcome | Boratto L., Germanakos P., Gena C., Popescus E., Marras M., | 2024 | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends | Purificato E., Boratto L., De Luca E.W., | 2024 | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| Learner-centered Ontology for Explainable Educational Recommendation | Afreen N., Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Martis A.G., | 2024 | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| UMAP2024Chairs Welcome | Boratto L., Germanakos P., Gena C., Popescus E., Marras M., | 2024 | UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| User Perceptions of Diversity in Recommender Systems | Dokoupil P., Boratto L., Peska L., | 2024 | UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems | Gómez E., Contreras D., Salamo M., Boratto L., | 2024 | UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| Web Science 2024: Conference Chairs' Welcome Message | Staab S., Aiello L.M., Mejova Y., Seneviratne O., Sindermann C., Hagendorff T., Brandes S., Rohlmann J., Spaniol M., Kinder-Kurlanda K., Faleńska A., Heiberger R., Sun J., Kaiser S., De Choudhury M., Weber M., De Francisci Morales G., Dunn A., Gadiraju U., Gaito S., Hooper S., Javarone M.A., Kalimeri K., Kwak H., Maity S.K., Mashhadi A., Mustafaraj E., Purohit H., Rossetti G., Sastry N., Srinivasa S., Vaz-De-Melo P., Weal M., Weber I., Weninger T., Withing M., Zubiaga A., Ahlers D., Tamime R.A., Alam S., Alhoori H., Andriotis P., Bär D., Bernstein M., Boratto L., Camargo C., Capozzi A., Chelmis C., Vieira C.C., De Meo P., Dinh L., Dividino R., Doerfel S., Farahbakhsh R., Ferreira C.H.G., Flores-Saviaga C., Florio K., Galdeman A., Guo C., Hakimov S., Rad R.H., Helic D., Hohmann M., Horawalavithana S., Horne B., Ibanez-Gonzalez L., Jiang J., Jones S., Kamdar M.R., Kao H.T., Kassa Y.M., Kastrin A., Kazama K., Kelly M., Khanday A., Khatua A., Khudabukhsh A., Krüger F., Kumari N., Lai M., Lamba H., Lee R.K.W., Lee E., Liao Y., Lin W., Magelinski T., Magnani M., Hill B.M., Manikonda L., Masud S., Mekouar S., Møller A.G., Muthiah S., Ni C., Nishimura J., Nwala A., Pera A., Piao G., Piccardi T., Pierri F., | 2024 | Proceedings of the 16th ACM Web Science Conference, WebSci 2024 |
| Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation | Ramos G., Boratto L., Marras M., | 2024 | IEEE Transactions on Big Data |
| Comparing User Interfaces for Customizing Multi-Objective Recommender Systems | Dokoupil P., Boratto L., Peska L., | 2024 | CEUR Workshop Proceedings |
| Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks | Boratto L., Fabbri F., Fenu G., Marras M., Medda G., | 2024 | CEUR Workshop Proceedings |
| MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels | Gómez E., Contreras D., Boratto L., Salamó M., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation | Boratto L., Cerniglia G., Marras M., Perniciano A., Pes B., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Explainable Recommender Systems with Knowledge Graphs and Language Models | Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation | Boratto L., Fabbri F., Fenu G., Marras M., Medda G., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) | Boratto L., Malitesta D., Marras M., Medda G., Musto C., Purificato E., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Conclusions | Felfernig A., Boratto L., Stettinger M., Tkalčič M., | 2024 | Signals and Communication Technology |
| Preface | Felfernig A., Stettinger M., Boratto L., Tkalčič M., | 2024 | Signals and Communication Technology |
| Evaluating Group Recommender Systems | Trattner C., Said A., Boratto L., Felfernig A., | 2024 | Signals and Communication Technology |
| Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems | Boratto L., Fabbri F., Fenu G., Marras M., Medda G., | 2023 | International Conference on Information and Knowledge Management, Proceedings |
| Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges | Purificato E., Boratto L., De Luca E.W., | 2023 | International Conference on Information and Knowledge Management, Proceedings |
| First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U) | De Luca E.W., Purificato E., Boratto L., Marrone S., Sansone C., | 2023 | ACM International Conference Proceeding Series |
| Towards Self-Explaining Sequence-Aware Recommendation | Ariza-Casabona A., Salamó M., Boratto L., Fenu G., | 2023 | Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 |
| Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives | Paparella V., Anelli V.W., Boratto L., Di Noia T., | 2023 | Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 |
| Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations | Dokoupil P., Peska L., Boratto L., | 2023 | Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 |
| Bias characterization, assessment, and mitigation in location-based recommender systems | Sánchez P., Bellogín A., Boratto L., | 2023 | Data Mining and Knowledge Discovery |
| Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems | Dokoupil P., Peska L., Boratto L., | 2023 | SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models | Abdelrazek M., Purificato E., Boratto L., De Luca E.W., | 2023 | SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives | Purificato E., Boratto L., De Luca E.W., | 2023 | UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization |
| Practical perspectives of consumer fairness in recommendation | Boratto L., Fenu G., Marras M., Medda G., | 2023 | Information Processing and Management |
| Reinforcement recommendation reasoning through knowledge graphs for explanation path quality | Balloccu G., Boratto L., Fenu G., Marras M., | 2023 | Knowledge-Based Systems |
| Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks | Purificato E., Boratto L., De Luca E.W., | 2023 | CEUR Workshop Proceedings |
| HCAI4U 2023 - Preface to the First Workshop on User Perspectives in Human-Centred Artificial Intelligence | De Luca E.W., Purificato E., Boratto L., Marrone S., Sansone C., | 2023 | CEUR Workshop Proceedings |
| Towards Explainable Educational Recommendation through Path Reasoning Methods | Afreen N., Balloccu G., Boratto L., Fenu G., Marras M., | 2023 | CEUR Workshop Proceedings |
| Consumer Fairness Benchmark in Recommendation | Boratto L., Fenu G., Marras M., Medda G., | 2023 | CEUR Workshop Proceedings |
| Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods | Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., | 2023 | CEUR Workshop Proceedings |
| Advances in Bias and Fairness in Information Retrieval: Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2023 | Communications in Computer and Information Science |
| Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) | Boratto L., Faralli S., Marras M., Stilo G., | 2023 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation | Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., | 2023 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| XRecSys: A framework for path reasoning quality in explainable recommendation[Formula presented] | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | Software Impacts |
| Fair performance-based user recommendation in eCoaching systems | Boratto L., Carta S., Iguider W., Mulas F., Pilloni P., | 2022 | User Modeling and User-Adapted Interaction |
| Enabling Reproducibility in Group Recommender Systems | Silveira J.D., Salamó M., Boratto L., | 2022 | Frontiers in Artificial Intelligence and Applications |
| Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling | Purificato E., Boratto L., De Luca E.W., | 2022 | International Conference on Information and Knowledge Management, Proceedings |
| Robust reputation independence in ranking systems for multiple sensitive attributes | Ramos G., Boratto L., Marras M., | 2022 | Machine Learning |
| Hands on Explainable Recommender Systems with Knowledge Graphs | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems |
| Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations | Marras M., Boratto L., Ramos G., Fenu G., | 2022 | International Journal of Artificial Intelligence in Education |
| Regulating Group Exposure for Item Providers in Recommendation | Marras M., Boratto L., Ramos G., Fenu G., | 2022 | SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| UMAP 2022 Chairs' Welcome | Bellogin A., Boratto L., Santos O.C., Ardissono L., Knijnenburg B., | 2022 | UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization |
| ACM Hypertext 2022 Chairs' Welcome | Bellogín A., Boratto L., Cena F., | 2022 | HT 2022: 33rd ACM Conference on Hypertext and Social Media - Co-located with ACM WebSci 2022 and ACM UMAP 2022 |
| UMAP 2022 Chairs' Welcome | Bellogin A., Boratto L., Santos O.C., Ardissono L., Knijnenburg B., | 2022 | UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization |
| A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery | Saúde J., Ramos G., Boratto L., Caleiro C., | 2022 | ACM Transactions on Knowledge Discovery from Data |
| Enabling cross-continent provider fairness in educational recommender systems | Gómez E., Shui Zhang C., Boratto L., Salamó M., Ramos G., | 2022 | Future Generation Computer Systems |
| Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | CEUR Workshop Proceedings |
| Advances in Bias and Fairness in Information Retrieval: Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2022 | Communications in Computer and Information Science |
| Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022) | Boratto L., Faralli S., Marras M., Stilo G., | 2022 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Boratto L., Fenu G., Marras M., Medda G., | 2022 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation | Boratto L., Faralli S., Marras M., Stilo G., | 2022 | Information Processing and Management |
| Provider fairness across continents in collaborative recommender systems | Gómez E., Boratto L., Salamó M., | 2022 | Information Processing and Management |
| Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification | Piras L., Boratto L., Ramos G., | 2021 | International Conference on Information and Knowledge Management, Proceedings |
| Reputation Equity in Ranking Systems | Ramos G., Boratto L., Marras M., | 2021 | International Conference on Information and Knowledge Management, Proceedings |
| Integrating Collaboration and Leadership in Conversational Group Recommender Systems | Contreras D., Salamó M., Boratto L., | 2021 | ACM Transactions on Information Systems |
| Advances in Bias-aware Recommendation on the Web | Boratto L., Marras M., | 2021 | WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining |
| The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems | Gómez E., Shui Zhang C., Boratto L., Salamó M., Marras M., | 2021 | SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Interplay between upsampling and regularization for provider fairness in recommender systems | Boratto L., Fenu G., Marras M., | 2021 | User Modeling and User-Adapted Interaction |
| Countering bias in personalized rankings : fffrom data engineering to algorithm development | Boratto L., Marras M., | 2021 | Proceedings - International Conference on Data Engineering |
| Toward a Complete Data Valuation Process. Challenges of Personal Data | Tufiş M., Boratto L., | 2021 | Journal of Data and Information Quality |
| Combining mitigation treatments against biases in personalized rankings: Use case on item popularity | Boratto L., Fenu G., Marras M., | 2021 | CEUR Workshop Proceedings |
| Advances in bias and fairness in information retrieval: Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2021 | Communications in Computer and Information Science |
| Disparate Impact in Item Recommendation: A Case of Geographic Imbalance | Gómez E., Boratto L., Salamó M., | 2021 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021) | Boratto L., Faralli S., Marras M., Stilo G., | 2021 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems | Ariza A., Fabbri F., Boratto L., Salamó M., | 2021 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Assessing the Level of Accessibility of Railway Public Transport for Women Passengers Using Location-Based Data: The Case of H2020 DIAMOND Project | Gorrini A., Choubassi R., Rezaallah A., Presicce D., Boratto L., Laniado D., Aragón P., | 2021 | Green Energy and Technology |
| Connecting user and item perspectives in popularity debiasing for collaborative recommendation | Boratto L., Fenu G., Marras M., | 2021 | Information Processing and Management |
| Integrating a cognitive assistant within a critique-based recommender system | Güell M., Salamó M., Contreras D., Boratto L., | 2020 | Cognitive Systems Research |
| Reputation (In)dependence in Ranking Systems: Demographics Influence over Output Disparities | Ramos G., Boratto L., | 2020 | SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Matching user preferences and behavior for mobility | Basile S., Consonni C., Manca M., Boratto L., | 2020 | Proceedings of the 31st ACM Conference on Hypertext and Social Media, HT 2020 |
| Hands on Data and Algorithmic Bias in Recommender Systems | Boratto L., Marras M., | 2020 | UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization |
| Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users’ sharing behavior on Facebook | Boratto L., Carta S., Ibba F., Mulas F., Pilloni P., | 2020 | User Modeling and User-Adapted Interaction |
| Characterizing user behavior in journey planning | Boratto L., Manca M., Lugano G., Gogola M., | 2020 | Computing |
| On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms | Ramos G., Boratto L., Caleiro C., | 2020 | Information Processing and Management |
| Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems: Special issue introduction | Boratto L., Vargiu E., | 2020 | Journal of Intelligent Information Systems |
| The effect of homophily on disparate visibility of minorities in people recommender systems | Fabbri F., Bonchi F., Boratto L., Castillo C., | 2020 | Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020 |
| A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects | Malloci F.M., Penadés L.P., Boratto L., Fenu G., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2020 | Communications in Computer and Information Science |
| International workshop on algorithmic bias in search and recommendation (bias 2020) | Boratto L., Marras M., Faralli S., Stilo G., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Distance-aware event recommendation in event-based social networks | Jiménez O., Salamó M., Boratto L., | 2019 | Frontiers in Artificial Intelligence and Applications |
| Guest editorial: social media for personalization and search | Boratto L., Kaltenbrunner A., Stilo G., | 2019 | Information Retrieval Journal |
| Preface and keynote’s talk of the Workshop on Social Interaction-based Recommendation (SIR 2018) | Boratto L., Faralli S., Morbidoni C., Pasi G., Stilo G., | 2019 | CEUR Workshop Proceedings |
| The effect of algorithmic bias on recommender systems for massive open online courses | Boratto L., Fenu G., Marras M., | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Third workshop on social media for personalization and search (somepeas 2019) | Boratto L., Stilo G., | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Advances in computer-human interaction for recommender systems (AdCHIReS) | Spano L.D., Boratto L., | 2019 | International Journal of Human Computer Studies |
| Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations | Recalde L., Mendieta J., Boratto L., Terán L., Vaca C., Baquerizo G., | 2019 | IEEE Transactions on Emerging Topics in Computing |
| Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era | Boratto L., Carta S., Kaltenbrunner A., Manca M., | 2018 | Information Systems Frontiers |
| A multi-biometric system for continuous student authentication in e-learning platforms | Fenu G., Marras M., Boratto L., | 2018 | Pattern Recognition Letters |
| Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system | Manca M., Boratto L., Carta S., | 2018 | Information Systems Frontiers |
| BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration | Marras M., Manca M., Boratto L., Fenu G., Laniado D., | 2018 | The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018 |
| Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation | Pilloni P., Piras L., Carta S., Fenu G., Mulas F., Boratto L., | 2018 | Computer |
| Group Recommendations | Boratto L., Felfernig A., | 2018 | Collaborative Recommendations: Algorithms, Practical Challenges and Applications |
| Predicting workout quality to help coaches support sportspeople | Boratto L., Carta S., Iguider W., Mulas F., Pilloni P., | 2018 | CEUR Workshop Proceedings |
| NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system | Armano G., Battiato S., Bennato D., Boratto L., Carta S.M., Noia T.D., Sciascio E.D., Ortis A., Recupero D.R., | 2018 | CEUR Workshop Proceedings |
| Workshop on social aspects in personalization and search (SoAPS 2018) | Boratto L., Stilo G., | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Employing document embeddings to solve the “new catalog” problem in user targeting, and provide explanations to the users | Boratto L., Carta S., Fenu G., Piras L., | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Semantics-aware content-based recommender systems: Design and architecture guidelines | Boratto L., Carta S., Fenu G., Saia R., | 2017 | Neurocomputing |
| An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes | Boratto L., Carta S., Mulas F., Pilloni P., | 2017 | Personal and Ubiquitous Computing |
| Exploiting the evaluation frequency of the items to enhance the recommendation accuracy | Saia R., Boratto L., Carta S., | 2017 | Proceedings - 2016 Global Summit on Computer and Information Technology, GSCIT 2016 |
| Analysis of the properties that affect the accuracy of a group recommender system | Boratto L., Carta S., Fenu G., | 2017 | Proceedings - 2016 Global Summit on Computer and Information Technology, GSCIT 2016 |
| Detection of trending topic communities: Bridging content creators and distributors | Recalde L., Nettleton D., Baeza-Yates R., Boratto L., | 2017 | HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media |
| Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS) | Boratto L., Carta S., Fenu G., | 2017 | Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017 |
| Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study | Manca M., Boratto L., Morell Roman V., Martori i Gallissà O., Kaltenbrunner A., | 2017 | Online Social Networks and Media |
| The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle | Boratto L., Carta S., Fenu G., Manca M., Mulas F., Pilloni P., | 2017 | Pervasive and Mobile Computing |
| Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios | Boratto L., Carta S., Fenu G., | 2017 | Information Sciences |
| Recommendation in persuasive eHealth systems: An effective strategy to spot users' losing motivation to exercise | Pilloni P., Piras L., Boratto L., Carta S., Fenu G., Mulas F., | 2017 | CEUR Workshop Proceedings |
| Preface on the second workshop on engineering computer-human interaction in recommender systems ((EnCHIReS 2017) | Boratto L., Carta S., Fenu G., | 2017 | CEUR Workshop Proceedings |
| Towards chatbots as recommendation interfaces | Atzori M., Boratto L., Spano L., | 2017 | CEUR Workshop Proceedings |
| Preface on the workshop on social media for personalization and search (SoMePeAS) | Boratto L., Kaltenbrunner A., Stilo G., | 2017 | CEUR Workshop Proceedings |
| Workshop on social media for personalization and search (SoMePeAS) | Boratto L., Kaltenbrunner A., Stilo G., | 2017 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Influence of Rating Prediction on Group Recommendation’s Accuracy | Boratto L., Carta S., Fenu G., Mulas F., Pilloni P., | 2016 | IEEE Intelligent Systems |
| Influence of rating prediction on group recommendation's accuracy | Boratto L., Carta S., Fenu G., Mulas F., Pilloni P., | 2016 | IEEE Intelligent Systems |
| Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting | Saia R., Boratto L., Carta S., Fenu G., | 2016 | Future Generation Computer Systems |
| Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering | Boratto L., Carta S., Fenu G., | 2016 | Future Generation Computer Systems |
| Using neural word embeddings to model user behavior and detect user segments | Boratto L., Carta S., Fenu G., Saia R., | 2016 | Knowledge-Based Systems |
| Group recommender systems | Boratto L., | 2016 | RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems |
| A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system | Saia R., Boratto L., Carta S., | 2016 | Journal of Intelligent Information Systems |
| Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items | Boratto L., Carta S., Fenu G., Saia R., | 2016 | IEEE International Conference on Data Mining Workshops, ICDMW |
| Workshop on engineering human-computer interaction in recommender systems | Boratto L., Spano L., Carta S., Fenu G., | 2016 | EICS 2016 - 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems |
| A tool to analyze the reading behavior of the users in a mobile digital publishing platform | Boratto L., Cadeddu M., Carta S., Deplano G., Mereu F., | 2016 | CEUR Workshop Proceedings |
| Introduction to the special issue on human-computer interaction and the social web | Carta S., Boratto L., | 2016 | Future Internet |
| Preface | Spano L., Boratto L., Carta S., Fenu G., | 2016 | CEUR Workshop Proceedings |
| Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion | Boratto L., Carta S., Saia R., | 2016 | CEUR Workshop Proceedings |
| A class-based strategy to user behavior modeling in recommender systems | Saia R., Boratto L., Carta S., | 2016 | Studies in Computational Intelligence |
| Representing items as word-embedding vectors and generating recommendations by measuring their linear independence | Boratto L., Carta S., Fenu G., Saia R., | 2016 | CEUR Workshop Proceedings |
| Keep the beat: Audio guidance for runner training | Balvis L., Boratto L., Mulas F., Spano L., Carta S., Fenu G., | 2016 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Group recommender systems: State of the art, emerging aspects and techniques, and research challenges | Boratto L., | 2016 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| ART: group recommendation approaches for automatically detected groups | Boratto L., Carta S., | 2015 | International Journal of Machine Learning and Cybernetics |
| The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation | Boratto L., Carta S., | 2015 | Journal of Intelligent Information Systems |
| UP SCHOOL: Introduction of pervasive learning technologies to enhance classic educational models | Garau P., Boratto L., Carta S., Fenu G., | 2015 | Bulletin of the Technical Committee on Learning Technology |
| A new perspective on recommender systems: A class path information model | Saia R., Boratto L., Carta S., | 2015 | Proceedings of the 2015 Science and Information Conference, SAI 2015 |
| A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising | Saia R., Boratto L., Carta S., | 2015 | Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015 |
| Using behavioral data mining to produce friend recommendations in a social bookmarking system | Manca M., Boratto L., Carta S., | 2015 | Communications in Computer and Information Science |
| Multiple behavioral models: A divide and conquer strategy to fraud detection in financial data streams | Saia R., Boratto L., Carta S., | 2015 | IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| Design criteria to model groups in big data scenarios: Algorithms and best practices* | Boratto L., Fenu G., Pau P., | 2015 | CEUR Workshop Proceedings |
| Friend recommendation in a social bookmarking system: Design and architecture guidelines | Manca M., Boratto L., Carta S., | 2015 | Studies in Computational Intelligence |
| Design and architecture of a friend recommender system in the social bookmarking domain | Manca M., Boratto L., Carta S., | 2014 | Proceedings of 2014 Science and Information Conference, SAI 2014 |
| Mining user behavior in a social bookmarking system: A delicious friend recommender system | Manca M., Boratto L., Carta S., | 2014 | DATA 2014 - Proceedings of 3rd International Conference on Data Management Technologies and Applications |
| Semantic coherence-based user profile modeling in the recommender systems context | Saia R., Boratto L., Carta S., | 2014 | KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval |
| Impact of content novelty on the accuracy of a group recommender system | Boratto L., Carta S., | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Modeling the preferences of a group of users detected by clustering: A group recommendation case-study | Boratto L., Carta S., | 2014 | ACM International Conference Proceeding Series |
| Using collaborative filtering to overcome the curse of dimensionality when clustering users in a group recommender system | Boratto L., Carta S., | 2014 | ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems |
| Using new communication technologies and social media interaction to improve the motivation of users to exercise | Mulas F., Pilloni P., Manca M., Boratto L., Carta S., | 2013 | 2nd International Conference on Future Generation Communication Technologies, FGCT 2013 |
| Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users | Mulas F., Pilloni P., Manca M., Boratto L., Carta S., | 2013 | 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings |
| Groups identification and individual recommendations in group recommendation algorithms | Boratto L., Carta S., Satta M., | 2010 | CEUR Workshop Proceedings |
| State-of-the-art in group recommendation and new approaches for automatic identification of groups | Boratto L., Carta S., | 2010 | Studies in Computational Intelligence |
| Group recommendation with automatic identification of users communities | Boratto L., Carta S., Chessa A., Agelli M., Clemente M., | 2009 | Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 |
| RATC: A robust automated tag clustering technique | Boratto L., Carta S., Vargiu E., | 2009 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Gómez E., Contreras D., Boratto L., Salamó M., Enhancing recommender systems with provider fairness through preference distribution-awareness (2025), International Journal of Information Management Data Insights
Bellogin A., Boratto L., Kleanthous S., Lex E., Malloci F.M., Marras M., Advances in Bias and Fairness in Information Retrieval: Preface (2025), Communications in Computer and Information Science
Boratto L., Malitesta D., Marras M., Medda G., Musto C., Purificato E., Advances on Graph-Based Approaches in Information Retrieval: Preface (2025), Communications in Computer and Information Science
Sánchez P., Bellogín A., Boratto L., Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems (Data Mining and Knowledge Discovery, (2023), 37, 5, (1885-1929), 10.1007/s10618-022-00913-5) (2024), Data Mining and Knowledge Discovery
Afreen N., Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Martis A.G., EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration (2024), International Conference on Information and Knowledge Management, Proceedings
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., DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation (2024), ACM International Conference Proceeding Series
Gómez E., Contreras D., Boratto L., Salamó M., AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders (2024), RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
Balloccu G., Boratto L., Fenu G., Marras M., Soccol A., KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation (2024), RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
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., RecSys 2024 Chairs’ Welcome (2024), RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
Ariza-Casabona A., Boratto L., Salamó M., A Comparative Analysis of Text-Based Explainable Recommender Systems (2024), RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
Boratto L., De Filippo A., Lex E., Ricci F., First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024) (2024), RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
Boratto L., Fabbri F., Fenu G., Marras M., Medda G., Fair Augmentation for Graph Collaborative Filtering (2024), RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
Purificato E., Boratto L., De Luca E.W., Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks (2024), Minds and Machines
Martinez A., Tufis M., Boratto L., Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering (2024), SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Dokoupil P., Peska L., Boratto L., SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores (2024), SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Ramos G., Marras M., Boratto L., Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches (2024), SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Bellogín A., Boratto L., Kleanthous S., Lex E., Malloci F.M., Marras M., International Workshop on Algorithmic Bias in Search and Recommendation (BIAS) (2024), SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Boratto L., Felfernig A., Stettinger M., Tkalčič M., Preface on the special issue on group recommender systems (2024), User Modeling and User-Adapted Interaction
Boratto L., Germanakos P., Gena C., Popescus E., Marras M., UMAP 2024 Chairs' Welcome (2024), UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Purificato E., Boratto L., De Luca E.W., Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends (2024), UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Afreen N., Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Martis A.G., Learner-centered Ontology for Explainable Educational Recommendation (2024), UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Boratto L., Germanakos P., Gena C., Popescus E., Marras M., UMAP2024Chairs Welcome (2024), UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Dokoupil P., Boratto L., Peska L., User Perceptions of Diversity in Recommender Systems (2024), UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Gómez E., Contreras D., Salamo M., Boratto L., Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems (2024), UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Staab S., Aiello L.M., Mejova Y., Seneviratne O., Sindermann C., Hagendorff T., Brandes S., Rohlmann J., Spaniol M., Kinder-Kurlanda K., Faleńska A., Heiberger R., Sun J., Kaiser S., De Choudhury M., Weber M., De Francisci Morales G., Dunn A., Gadiraju U., Gaito S., Hooper S., Javarone M.A., Kalimeri K., Kwak H., Maity S.K., Mashhadi A., Mustafaraj E., Purohit H., Rossetti G., Sastry N., Srinivasa S., Vaz-De-Melo P., Weal M., Weber I., Weninger T., Withing M., Zubiaga A., Ahlers D., Tamime R.A., Alam S., Alhoori H., Andriotis P., Bär D., Bernstein M., Boratto L., Camargo C., Capozzi A., Chelmis C., Vieira C.C., De Meo P., Dinh L., Dividino R., Doerfel S., Farahbakhsh R., Ferreira C.H.G., Flores-Saviaga C., Florio K., Galdeman A., Guo C., Hakimov S., Rad R.H., Helic D., Hohmann M., Horawalavithana S., Horne B., Ibanez-Gonzalez L., Jiang J., Jones S., Kamdar M.R., Kao H.T., Kassa Y.M., Kastrin A., Kazama K., Kelly M., Khanday A., Khatua A., Khudabukhsh A., Krüger F., Kumari N., Lai M., Lamba H., Lee R.K.W., Lee E., Liao Y., Lin W., Magelinski T., Magnani M., Hill B.M., Manikonda L., Masud S., Mekouar S., Møller A.G., Muthiah S., Ni C., Nishimura J., Nwala A., Pera A., Piao G., Piccardi T., Pierri F., Web Science 2024: Conference Chairs' Welcome Message (2024), Proceedings of the 16th ACM Web Science Conference, WebSci 2024
Ramos G., Boratto L., Marras M., Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation (2024), IEEE Transactions on Big Data
Dokoupil P., Boratto L., Peska L., Comparing User Interfaces for Customizing Multi-Objective Recommender Systems (2024), CEUR Workshop Proceedings
Boratto L., Fabbri F., Fenu G., Marras M., Medda G., Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks (2024), CEUR Workshop Proceedings
Gómez E., Contreras D., Boratto L., Salamó M., MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Cerniglia G., Marras M., Perniciano A., Pes B., A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Explainable Recommender Systems with Knowledge Graphs and Language Models (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Fabbri F., Fenu G., Marras M., Medda G., Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Malitesta D., Marras M., Medda G., Musto C., Purificato E., First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Felfernig A., Boratto L., Stettinger M., Tkalčič M., Conclusions (2024), Signals and Communication Technology
Felfernig A., Stettinger M., Boratto L., Tkalčič M., Preface (2024), Signals and Communication Technology
Trattner C., Said A., Boratto L., Felfernig A., Evaluating Group Recommender Systems (2024), Signals and Communication Technology
Boratto L., Fabbri F., Fenu G., Marras M., Medda G., Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems (2023), International Conference on Information and Knowledge Management, Proceedings
Purificato E., Boratto L., De Luca E.W., Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges (2023), International Conference on Information and Knowledge Management, Proceedings
De Luca E.W., Purificato E., Boratto L., Marrone S., Sansone C., First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U) (2023), ACM International Conference Proceeding Series
Ariza-Casabona A., Salamó M., Boratto L., Fenu G., Towards Self-Explaining Sequence-Aware Recommendation (2023), Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023
Paparella V., Anelli V.W., Boratto L., Di Noia T., Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives (2023), Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023
Dokoupil P., Peska L., Boratto L., Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations (2023), Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023
Sánchez P., Bellogín A., Boratto L., Bias characterization, assessment, and mitigation in location-based recommender systems (2023), Data Mining and Knowledge Discovery
Dokoupil P., Peska L., Boratto L., Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems (2023), SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Abdelrazek M., Purificato E., Boratto L., De Luca E.W., FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models (2023), SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Purificato E., Boratto L., De Luca E.W., Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives (2023), UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Boratto L., Fenu G., Marras M., Medda G., Practical perspectives of consumer fairness in recommendation (2023), Information Processing and Management
Balloccu G., Boratto L., Fenu G., Marras M., Reinforcement recommendation reasoning through knowledge graphs for explanation path quality (2023), Knowledge-Based Systems
Purificato E., Boratto L., De Luca E.W., Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks (2023), CEUR Workshop Proceedings
De Luca E.W., Purificato E., Boratto L., Marrone S., Sansone C., HCAI4U 2023 - Preface to the First Workshop on User Perspectives in Human-Centred Artificial Intelligence (2023), CEUR Workshop Proceedings
Afreen N., Balloccu G., Boratto L., Fenu G., Marras M., Towards Explainable Educational Recommendation through Path Reasoning Methods (2023), CEUR Workshop Proceedings
Boratto L., Fenu G., Marras M., Medda G., Consumer Fairness Benchmark in Recommendation (2023), CEUR Workshop Proceedings
Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods (2023), CEUR Workshop Proceedings
Boratto L., Faralli S., Marras M., Stilo G., Advances in Bias and Fairness in Information Retrieval: Preface (2023), Communications in Computer and Information Science
Boratto L., Faralli S., Marras M., Stilo G., Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Balloccu G., Boratto L., Fenu G., Marras M., XRecSys: A framework for path reasoning quality in explainable recommendation[Formula presented] (2022), Software Impacts
Boratto L., Carta S., Iguider W., Mulas F., Pilloni P., Fair performance-based user recommendation in eCoaching systems (2022), User Modeling and User-Adapted Interaction
Silveira J.D., Salamó M., Boratto L., Enabling Reproducibility in Group Recommender Systems (2022), Frontiers in Artificial Intelligence and Applications
Purificato E., Boratto L., De Luca E.W., Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling (2022), International Conference on Information and Knowledge Management, Proceedings
Ramos G., Boratto L., Marras M., Robust reputation independence in ranking systems for multiple sensitive attributes (2022), Machine Learning
Balloccu G., Boratto L., Fenu G., Marras M., Hands on Explainable Recommender Systems with Knowledge Graphs (2022), RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
Marras M., Boratto L., Ramos G., Fenu G., Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations (2022), International Journal of Artificial Intelligence in Education
Marras M., Boratto L., Ramos G., Fenu G., Regulating Group Exposure for Item Providers in Recommendation (2022), SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Balloccu G., Boratto L., Fenu G., Marras M., Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations (2022), SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Bellogin A., Boratto L., Santos O.C., Ardissono L., Knijnenburg B., UMAP 2022 Chairs' Welcome (2022), UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Bellogín A., Boratto L., Cena F., ACM Hypertext 2022 Chairs' Welcome (2022), HT 2022: 33rd ACM Conference on Hypertext and Social Media - Co-located with ACM WebSci 2022 and ACM UMAP 2022
Bellogin A., Boratto L., Santos O.C., Ardissono L., Knijnenburg B., UMAP 2022 Chairs' Welcome (2022), UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Saúde J., Ramos G., Boratto L., Caleiro C., A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery (2022), ACM Transactions on Knowledge Discovery from Data
Gómez E., Shui Zhang C., Boratto L., Salamó M., Ramos G., Enabling cross-continent provider fairness in educational recommender systems (2022), Future Generation Computer Systems
Balloccu G., Boratto L., Fenu G., Marras M., Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation (2022), CEUR Workshop Proceedings
Boratto L., Faralli S., Marras M., Stilo G., Advances in Bias and Fairness in Information Retrieval: Preface (2022), Communications in Computer and Information Science
Boratto L., Faralli S., Marras M., Stilo G., Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022) (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Fenu G., Marras M., Medda G., Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Faralli S., Marras M., Stilo G., Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation (2022), Information Processing and Management
Gómez E., Boratto L., Salamó M., Provider fairness across continents in collaborative recommender systems (2022), Information Processing and Management
Piras L., Boratto L., Ramos G., Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification (2021), International Conference on Information and Knowledge Management, Proceedings
Ramos G., Boratto L., Marras M., Reputation Equity in Ranking Systems (2021), International Conference on Information and Knowledge Management, Proceedings
Contreras D., Salamó M., Boratto L., Integrating Collaboration and Leadership in Conversational Group Recommender Systems (2021), ACM Transactions on Information Systems
Boratto L., Marras M., Advances in Bias-aware Recommendation on the Web (2021), WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
Gómez E., Shui Zhang C., Boratto L., Salamó M., Marras M., The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems (2021), SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
Boratto L., Fenu G., Marras M., Interplay between upsampling and regularization for provider fairness in recommender systems (2021), User Modeling and User-Adapted Interaction
Boratto L., Marras M., Countering bias in personalized rankings : fffrom data engineering to algorithm development (2021), Proceedings - International Conference on Data Engineering
Tufiş M., Boratto L., Toward a Complete Data Valuation Process. Challenges of Personal Data (2021), Journal of Data and Information Quality
Boratto L., Fenu G., Marras M., Combining mitigation treatments against biases in personalized rankings: Use case on item popularity (2021), CEUR Workshop Proceedings
Boratto L., Faralli S., Marras M., Stilo G., Advances in bias and fairness in information retrieval: Preface (2021), Communications in Computer and Information Science
Gómez E., Boratto L., Salamó M., Disparate Impact in Item Recommendation: A Case of Geographic Imbalance (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Faralli S., Marras M., Stilo G., Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021) (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Ariza A., Fabbri F., Boratto L., Salamó M., From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Gorrini A., Choubassi R., Rezaallah A., Presicce D., Boratto L., Laniado D., Aragón P., Assessing the Level of Accessibility of Railway Public Transport for Women Passengers Using Location-Based Data: The Case of H2020 DIAMOND Project (2021), Green Energy and Technology
Boratto L., Fenu G., Marras M., Connecting user and item perspectives in popularity debiasing for collaborative recommendation (2021), Information Processing and Management
Güell M., Salamó M., Contreras D., Boratto L., Integrating a cognitive assistant within a critique-based recommender system (2020), Cognitive Systems Research
Ramos G., Boratto L., Reputation (In)dependence in Ranking Systems: Demographics Influence over Output Disparities (2020), SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Basile S., Consonni C., Manca M., Boratto L., Matching user preferences and behavior for mobility (2020), Proceedings of the 31st ACM Conference on Hypertext and Social Media, HT 2020
Boratto L., Marras M., Hands on Data and Algorithmic Bias in Recommender Systems (2020), UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Boratto L., Carta S., Ibba F., Mulas F., Pilloni P., Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users’ sharing behavior on Facebook (2020), User Modeling and User-Adapted Interaction
Boratto L., Manca M., Lugano G., Gogola M., Characterizing user behavior in journey planning (2020), Computing
Ramos G., Boratto L., Caleiro C., On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms (2020), Information Processing and Management
Boratto L., Vargiu E., Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems: Special issue introduction (2020), Journal of Intelligent Information Systems
Fabbri F., Bonchi F., Boratto L., Castillo C., The effect of homophily on disparate visibility of minorities in people recommender systems (2020), Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
Malloci F.M., Penadés L.P., Boratto L., Fenu G., A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Faralli S., Marras M., Stilo G., Preface (2020), Communications in Computer and Information Science
Boratto L., Marras M., Faralli S., Stilo G., International workshop on algorithmic bias in search and recommendation (bias 2020) (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Jiménez O., Salamó M., Boratto L., Distance-aware event recommendation in event-based social networks (2019), Frontiers in Artificial Intelligence and Applications
Boratto L., Kaltenbrunner A., Stilo G., Guest editorial: social media for personalization and search (2019), Information Retrieval Journal
Boratto L., Faralli S., Morbidoni C., Pasi G., Stilo G., Preface and keynote’s talk of the Workshop on Social Interaction-based Recommendation (SIR 2018) (2019), CEUR Workshop Proceedings
Boratto L., Fenu G., Marras M., The effect of algorithmic bias on recommender systems for massive open online courses (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Stilo G., Third workshop on social media for personalization and search (somepeas 2019) (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Spano L.D., Boratto L., Advances in computer-human interaction for recommender systems (AdCHIReS) (2019), International Journal of Human Computer Studies
Recalde L., Mendieta J., Boratto L., Terán L., Vaca C., Baquerizo G., Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations (2019), IEEE Transactions on Emerging Topics in Computing
Boratto L., Carta S., Kaltenbrunner A., Manca M., Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era (2018), Information Systems Frontiers
Fenu G., Marras M., Boratto L., A multi-biometric system for continuous student authentication in e-learning platforms (2018), Pattern Recognition Letters
Manca M., Boratto L., Carta S., Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system (2018), Information Systems Frontiers
Marras M., Manca M., Boratto L., Fenu G., Laniado D., BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration (2018), The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
Pilloni P., Piras L., Carta S., Fenu G., Mulas F., Boratto L., Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation (2018), Computer
Boratto L., Felfernig A., Group Recommendations (2018), Collaborative Recommendations: Algorithms, Practical Challenges and Applications
Boratto L., Carta S., Iguider W., Mulas F., Pilloni P., Predicting workout quality to help coaches support sportspeople (2018), CEUR Workshop Proceedings
Armano G., Battiato S., Bennato D., Boratto L., Carta S.M., Noia T.D., Sciascio E.D., Ortis A., Recupero D.R., NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system (2018), CEUR Workshop Proceedings
Boratto L., Stilo G., Workshop on social aspects in personalization and search (SoAPS 2018) (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Carta S., Fenu G., Piras L., Employing document embeddings to solve the “new catalog” problem in user targeting, and provide explanations to the users (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Carta S., Fenu G., Saia R., Semantics-aware content-based recommender systems: Design and architecture guidelines (2017), Neurocomputing
Boratto L., Carta S., Mulas F., Pilloni P., An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes (2017), Personal and Ubiquitous Computing
Saia R., Boratto L., Carta S., Exploiting the evaluation frequency of the items to enhance the recommendation accuracy (2017), Proceedings - 2016 Global Summit on Computer and Information Technology, GSCIT 2016
Boratto L., Carta S., Fenu G., Analysis of the properties that affect the accuracy of a group recommender system (2017), Proceedings - 2016 Global Summit on Computer and Information Technology, GSCIT 2016
Recalde L., Nettleton D., Baeza-Yates R., Boratto L., Detection of trending topic communities: Bridging content creators and distributors (2017), HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media
Boratto L., Carta S., Fenu G., Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS) (2017), Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017
Manca M., Boratto L., Morell Roman V., Martori i Gallissà O., Kaltenbrunner A., Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study (2017), Online Social Networks and Media
Boratto L., Carta S., Fenu G., Manca M., Mulas F., Pilloni P., The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle (2017), Pervasive and Mobile Computing
Boratto L., Carta S., Fenu G., Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios (2017), Information Sciences
Pilloni P., Piras L., Boratto L., Carta S., Fenu G., Mulas F., Recommendation in persuasive eHealth systems: An effective strategy to spot users' losing motivation to exercise (2017), CEUR Workshop Proceedings
Boratto L., Carta S., Fenu G., Preface on the second workshop on engineering computer-human interaction in recommender systems ((EnCHIReS 2017) (2017), CEUR Workshop Proceedings
Atzori M., Boratto L., Spano L., Towards chatbots as recommendation interfaces (2017), CEUR Workshop Proceedings
Boratto L., Kaltenbrunner A., Stilo G., Preface on the workshop on social media for personalization and search (SoMePeAS) (2017), CEUR Workshop Proceedings
Boratto L., Kaltenbrunner A., Stilo G., Workshop on social media for personalization and search (SoMePeAS) (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Carta S., Fenu G., Mulas F., Pilloni P., Influence of Rating Prediction on Group Recommendation’s Accuracy (2016), IEEE Intelligent Systems
Boratto L., Carta S., Fenu G., Mulas F., Pilloni P., Influence of rating prediction on group recommendation's accuracy (2016), IEEE Intelligent Systems
Saia R., Boratto L., Carta S., Fenu G., Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting (2016), Future Generation Computer Systems
Boratto L., Carta S., Fenu G., Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering (2016), Future Generation Computer Systems
Boratto L., Carta S., Fenu G., Saia R., Using neural word embeddings to model user behavior and detect user segments (2016), Knowledge-Based Systems
Boratto L., Group recommender systems (2016), RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems
Saia R., Boratto L., Carta S., A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system (2016), Journal of Intelligent Information Systems
Boratto L., Carta S., Fenu G., Saia R., Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items (2016), IEEE International Conference on Data Mining Workshops, ICDMW
Boratto L., Spano L., Carta S., Fenu G., Workshop on engineering human-computer interaction in recommender systems (2016), EICS 2016 - 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems
Boratto L., Cadeddu M., Carta S., Deplano G., Mereu F., A tool to analyze the reading behavior of the users in a mobile digital publishing platform (2016), CEUR Workshop Proceedings
Carta S., Boratto L., Introduction to the special issue on human-computer interaction and the social web (2016), Future Internet
Spano L., Boratto L., Carta S., Fenu G., Preface (2016), CEUR Workshop Proceedings
Boratto L., Carta S., Saia R., Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion (2016), CEUR Workshop Proceedings
Saia R., Boratto L., Carta S., A class-based strategy to user behavior modeling in recommender systems (2016), Studies in Computational Intelligence
Boratto L., Carta S., Fenu G., Saia R., Representing items as word-embedding vectors and generating recommendations by measuring their linear independence (2016), CEUR Workshop Proceedings
Balvis L., Boratto L., Mulas F., Spano L., Carta S., Fenu G., Keep the beat: Audio guidance for runner training (2016), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Group recommender systems: State of the art, emerging aspects and techniques, and research challenges (2016), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Carta S., ART: group recommendation approaches for automatically detected groups (2015), International Journal of Machine Learning and Cybernetics
Boratto L., Carta S., The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation (2015), Journal of Intelligent Information Systems
Garau P., Boratto L., Carta S., Fenu G., UP SCHOOL: Introduction of pervasive learning technologies to enhance classic educational models (2015), Bulletin of the Technical Committee on Learning Technology
Saia R., Boratto L., Carta S., A new perspective on recommender systems: A class path information model (2015), Proceedings of the 2015 Science and Information Conference, SAI 2015
Saia R., Boratto L., Carta S., A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising (2015), Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015
Manca M., Boratto L., Carta S., Using behavioral data mining to produce friend recommendations in a social bookmarking system (2015), Communications in Computer and Information Science
Saia R., Boratto L., Carta S., Multiple behavioral models: A divide and conquer strategy to fraud detection in financial data streams (2015), IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Boratto L., Fenu G., Pau P., Design criteria to model groups in big data scenarios: Algorithms and best practices* (2015), CEUR Workshop Proceedings
Manca M., Boratto L., Carta S., Friend recommendation in a social bookmarking system: Design and architecture guidelines (2015), Studies in Computational Intelligence
Manca M., Boratto L., Carta S., Design and architecture of a friend recommender system in the social bookmarking domain (2014), Proceedings of 2014 Science and Information Conference, SAI 2014
Manca M., Boratto L., Carta S., Mining user behavior in a social bookmarking system: A delicious friend recommender system (2014), DATA 2014 - Proceedings of 3rd International Conference on Data Management Technologies and Applications
Saia R., Boratto L., Carta S., Semantic coherence-based user profile modeling in the recommender systems context (2014), KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval
Boratto L., Carta S., Impact of content novelty on the accuracy of a group recommender system (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Carta S., Modeling the preferences of a group of users detected by clustering: A group recommendation case-study (2014), ACM International Conference Proceeding Series
Boratto L., Carta S., Using collaborative filtering to overcome the curse of dimensionality when clustering users in a group recommender system (2014), ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems
Mulas F., Pilloni P., Manca M., Boratto L., Carta S., Using new communication technologies and social media interaction to improve the motivation of users to exercise (2013), 2nd International Conference on Future Generation Communication Technologies, FGCT 2013
Mulas F., Pilloni P., Manca M., Boratto L., Carta S., Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users (2013), 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings
Boratto L., Carta S., Satta M., Groups identification and individual recommendations in group recommendation algorithms (2010), CEUR Workshop Proceedings
Boratto L., Carta S., State-of-the-art in group recommendation and new approaches for automatic identification of groups (2010), Studies in Computational Intelligence
Boratto L., Carta S., Chessa A., Agelli M., Clemente M., Group recommendation with automatic identification of users communities (2009), Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Boratto L., Carta S., Vargiu E., RATC: A robust automated tag clustering technique (2009), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)