RATC: A Robust Automated Tag Clustering Technique. - Ludovico Boratto; Salvatore Carta; Eloisa Vargiu (EC-Web, 2009)

Group Recommendation with Automatic Identification of Users Communities. - Ludovico Boratto; Salvatore Carta; Alessandro Chessa; Maurizio Agelli; Maria Laura Clemente (Web Intelligence/IAT Workshops, 2009)

Groups Identification and Individual Recommendations in Group Recommendation Algorithms. - Ludovico Boratto; Salvatore Carta; Michele Satta (PRSAT@RecSys, 2010)

State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups. - Ludovico Boratto; Salvatore Carta (Information Retrieval and Mining in Distributed Environments, 2011)

Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users. - Fabrizio Mulas; Paolo Pilloni; Matteo Manca; Ludovico Boratto; Salvatore Carta (CogInfoCom, 2013)

Using new communication technologies and social media interaction to improve the motivation of users to exercise. - Fabrizio Mulas; Paolo Pilloni; Matteo Manca; Ludovico Boratto; Salvatore Carta (FGCT, 2013)

Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System. - Matteo Manca; Ludovico Boratto; Salvatore Carta (DATA, 2014)

Using Behavioral Data Mining to Produce Friend Recommendations in a Social Bookmarking System. - Matteo Manca; Ludovico Boratto; Salvatore Carta (DATA (Revised Selected Papers), 2014)

Impact of Content Novelty on the Accuracy of a Group Recommender System. - Ludovico Boratto; Salvatore Carta (DaWaK, 2014)

Semantic Coherence-based User Profile Modeling in the Recommender Systems Context. - Roberto Saia; Ludovico Boratto; Salvatore Carta (KDIR, 2014)

Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System. - Ludovico Boratto; Salvatore Carta (ICEIS (2), 2014)

Modeling the Preferences of a Group of Users Detected by Clustering: a Group Recommendation Case-Study. - Ludovico Boratto; Salvatore Carta (WIMS, 2014)

A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising. - Roberto Saia; Ludovico Boratto; Salvatore Carta (BigData Congress, 2015)

Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams. - Roberto Saia; Ludovico Boratto; Salvatore Carta (KDIR, 2015)

Design Criteria to Model Groups in Big Data Scenarios: Algorithms and Best Practices. - Ludovico Boratto; Gianni Fenu; Pier Luigi Pau (KDWeb, 2015)

The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation. - Ludovico Boratto; Salvatore Carta (J. Intell. Inf. Syst., 2015)

ART: group recommendation approaches for automatically detected groups. - Ludovico Boratto; Salvatore Carta (Int. J. Mach. Learn. Cybern., 2015)

Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges. - Ludovico Boratto (ECIR, 2016)

Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion. - Ludovico Boratto; Salvatore Carta; Roberto Saia (EnCHIReS@EICS, 2016)

Workshop on engineering human-computer interaction in recommender systems. - Ludovico Boratto; Lucio Davide Spano; Salvatore Carta; Gianni Fenu (EICS, 2016)

Analysis of the Properties that Affect the Accuracy of a Group Recommender System. - Ludovico Boratto; Salvatore Carta; Gianni Fenu (GSCIT, 2016)

Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy. - Roberto Saia; Ludovico Boratto; Salvatore Carta (GSCIT, 2016)

Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (ICDM Workshops, 2016)

Keep the Beat: Audio Guidance for Runner Training. - Luca Balvis; Ludovico Boratto; Fabrizio Mulas; Lucio Davide Spano; Salvatore Carta; Gianni Fenu (HCSE/HESSD, 2016)

A Tool to Analyze the Reading Behavior of the Users in a Mobile Digital Publishing Platform. - Ludovico Boratto; Mattia Cadeddu; Salvatore Carta; Gianni Deplano; Fabio Mereu (KDWeb, 2016)

Group Recommender Systems. - Ludovico Boratto (RecSys, 2016)

Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (RecSys Posters, 2016)

Influence of Rating Prediction on Group Recommendation's Accuracy. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Fabrizio Mulas; Paolo Pilloni (IEEE Intell. Syst., 2016)

Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering. - Ludovico Boratto; Salvatore Carta; Gianni Fenu (Future Gener. Comput. Syst., 2016)

Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting. - Roberto Saia; Ludovico Boratto; Salvatore Carta; Gianni Fenu (Future Gener. Comput. Syst., 2016)

Introduction to the Special Issue on Human-Computer Interaction and the Social Web. - Salvatore Carta; Ludovico Boratto (Future Internet, 2016)

A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system. - Roberto Saia; Ludovico Boratto; Salvatore Carta (J. Intell. Inf. Syst., 2016)

Using neural word embeddings to model user behavior and detect user segments. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (Knowl. Based Syst., 2016)

Towards Chatbots as Recommendation Interfaces. - Maurizio Atzori; Ludovico Boratto; Lucio Davide Spano (EnCHIReS@EICS, 2017)

Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS). - Ludovico Boratto; Salvatore Carta; Gianni Fenu (EICS, 2017)

Detection of Trending Topic Communities: Bridging Content Creators and Distributors. - Lorena Recalde; David F. Nettleton; Ricardo Baeza-Yates; Ludovico Boratto (HT, 2017)

Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. - Paolo Pilloni; Luca Piras 002; Ludovico Boratto; Salvatore Carta; Gianni Fenu; Fabrizio Mulas (HealthRecSys@RecSys, 2017)

Semantics-aware content-based recommender systems: Design and architecture guidelines. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (Neurocomputing, 2017)

Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios. - Ludovico Boratto; Salvatore Carta; Gianni Fenu (Inf. Sci., 2017)

Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System. - Roberto Saia; Ludovico Boratto; Salvatore Carta (J. Comput., 2017)

Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study. - Matteo Manca; Ludovico Boratto; Victor Morell Roman; Oriol Martori i Gallissà; Andreas Kaltenbrunner (Online Soc. Networks Media, 2017)

The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Matteo Manca; Fabrizio Mulas; Paolo Pilloni (Pervasive Mob. Comput., 2017)

An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes. - Ludovico Boratto; Salvatore Carta; Fabrizio Mulas; Paolo Pilloni (Pers. Ubiquitous Comput., 2017)

Report on the Workshop on Social Media for Personalization And Search (SoMePeAS). - Ludovico Boratto; Andreas Kaltenbrunner; Giovanni Stilo (SIGIR Forum, 2017)

Group Recommendations. - Ludovico Boratto; Alexander Felfernig (Collaborative Recommendations, 2018)

Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). - Ludovico Boratto; Stefano Faralli 001; Christian Morbidoni; Gabriella Pasi; Giovanni Stilo (CIKM Workshops, 2018)

Employing Document Embeddings to Solve the "New Catalog" Problem in User Targeting, and Provide Explanations to the Users. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Luca Piras 002 (ECIR, 2018)

Predicting Workout Quality to Help Coaches Support Sportspeople. - Ludovico Boratto; Salvatore Carta; Walid Iguider; Fabrizio Mulas; Paolo Pilloni (HealthRecSys@RecSys, 2018)

NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. - Giuliano Armano; Sebastiano Battiato; Davide Bennato; Ludovico Boratto; Salvatore M. Carta; Tommaso Di Noia; Eugenio Di Sciascio; Alessandro Ortis; Diego Reforgiato Recupero (SEBD, 2018)

BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration. - Mirko Marras; Matteo Manca; Ludovico Boratto; Gianni Fenu; David Laniado (WWW (Companion Volume), 2018)

Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation. - Paolo Pilloni; Luca Piras 002; Salvatore Carta; Gianni Fenu; Fabrizio Mulas; Ludovico Boratto (Computer, 2018)

Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era. - Ludovico Boratto; Salvatore Carta; Andreas Kaltenbrunner; Matteo Manca (Inf. Syst. Frontiers, 2018)

Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system. - Matteo Manca; Ludovico Boratto; Salvatore Carta (Inf. Syst. Frontiers, 2018)

A multi-biometric system for continuous student authentication in e-learning platforms. - Gianni Fenu; Mirko Marras; Ludovico Boratto (Pattern Recognit. Lett., 2018)

Report on the Workshop on Social Aspects in Personalization And Search (SoAPS). - Ludovico Boratto; Giovanni Stilo (SIGIR Forum, 2018)

Distance-Aware Event Recommendation in Event-Based Social Networks. - Oriol Jiménez; Maria Salamó; Ludovico Boratto (CCIA, 2019)

The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses. - Ludovico Boratto; Gianni Fenu; Mirko Marras (ECIR (1), 2019)

Advances in computer-human interaction for recommender systems (AdCHIReS). - Lucio Davide Spano; Ludovico Boratto (Int. J. Hum. Comput. Stud., 2019)

Guest editorial: social media for personalization and search. - Ludovico Boratto; Andreas Kaltenbrunner; Giovanni Stilo (Inf. Retr. J., 2019)

Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations. - Lorena Recalde; Jonathan Mendieta; Ludovico Boratto; Luis Terán; Carmen Vaca; Gabriela Baquerizo (IEEE Trans. Emerg. Top. Comput., 2019)

International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). - Ludovico Boratto; Mirko Marras; Stefano Faralli 001; Giovanni Stilo (ECIR (2), 2020)

Matching User Preferences and Behavior for Mobility. - Silvia Basile; Cristian Consonni; Matteo Manca; Ludovico Boratto (HT, 2020)

The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. - Francesco Fabbri; Francesco Bonchi; Ludovico Boratto; Carlos Castillo 001 (ICWSM, 2020)

Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. - Guilherme Ramos; Ludovico Boratto (SIGIR, 2020)

Hands on Data and Algorithmic Bias in Recommender Systems. - Ludovico Boratto; Mirko Marras (UMAP, 2020)

A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects. - Francesca Maridina Malloci; Laura Portell Penadés; Ludovico Boratto; Gianni Fenu (WISE (2), 2020)

Integrating a cognitive assistant within a critique-based recommender system. - Marc Güell; Maria Salamó; David Contreras; Ludovico Boratto (Cogn. Syst. Res., 2020)

Characterizing user behavior in journey planning. - Ludovico Boratto; Matteo Manca; Giuseppe Lugano; Marián Gogola (Computing, 2020)

Equality of Learning Opportunity in Personalized Recommendations. - Mirko Marras; Ludovico Boratto; Guilherme Ramos; Gianni Fenu (CoRR, 2020)

On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms. - Guilherme Ramos; Ludovico Boratto; Carlos Caleiro (Inf. Process. Manag., 2020)

Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems. - Ludovico Boratto; Eloisa Vargiu (J. Intell. Inf. Syst., 2020)

Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (SIGIR Forum, 2020)

ECIR 2020 workshops: assessing the impact of going online. - Sérgio Nunes 001; Suzanne Little; Sumit Bhatia; Ludovico Boratto; Guillaume Cabanac; Ricardo Campos 001; Francisco M. Couto; Stefano Faralli 001; Ingo Frommholz; Adam Jatowt; Alípio Jorge; Mirko Marras; et al. (SIGIR Forum, 2020)

Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users' sharing behavior on Facebook. - Ludovico Boratto; Salvatore Carta; Federico Ibba; Fabrizio Mulas; Paolo Pilloni (User Model. User Adapt. Interact., 2020)

Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. - Luca Piras 002; Ludovico Boratto; Guilherme Ramos (CIKM, 2021)

Reputation Equity in Ranking Systems. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (CIKM, 2021)

From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. - Alejandro Ariza; Francesco Fabbri; Ludovico Boratto; Maria Salamó (ECIR (2), 2021)

Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (2), 2021)

Disparate Impact in Item Recommendation: A Case of Geographic Imbalance. - Elizabeth Gómez; Ludovico Boratto; Maria Salamó (ECIR (1), 2021)

Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. - Ludovico Boratto; Mirko Marras (ICDE, 2021)

What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. - Cristian Consonni; Silvia Basile; Matteo Manca; Ludovico Boratto; André Freitas; Tatiana Kovacikova; Ghadir Pourhashem; Yannick Cornet (ICWSM, 2021)

Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. - Ludovico Boratto; Gianni Fenu; Mirko Marras (IIR, 2021)

The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. - Elizabeth Gómez; Carlos Shui Zhang; Ludovico Boratto; Maria Salamó; Mirko Marras (SIGIR, 2021)

Advances in Bias-aware Recommendation on the Web. - Ludovico Boratto; Mirko Marras (WSDM, 2021)

Connecting user and item perspectives in popularity debiasing for collaborative recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras (Inf. Process. Manag., 2021)

Toward a Complete Data Valuation Process. Challenges of Personal Data. - Mihnea Tufis; Ludovico Boratto (ACM J. Data Inf. Qual., 2021)

Integrating Collaboration and Leadership in Conversational Group Recommender Systems. - David Contreras; Maria Salamó; Ludovico Boratto (ACM Trans. Inf. Syst., 2021)

Interplay between upsampling and regularization for provider fairness in recommender systems. - Ludovico Boratto; Gianni Fenu; Mirko Marras (User Model. User Adapt. Interact., 2021)

Enabling Reproducibility in Group Recommender Systems. - Joaquin Dario Silveira; Maria Salamó; Ludovico Boratto (CCIA, 2022)

Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (CIKM, 2022)

Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (ECIR (1), 2022)

Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (2), 2022)

Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (IIR, 2022)

Hands on Explainable Recommender Systems with Knowledge Graphs. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (RecSys, 2022)

Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (SIGIR, 2022)

Regulating Group Exposure for Item Providers in Recommendation. - Mirko Marras; Ludovico Boratto; Guilherme Ramos; Gianni Fenu (SIGIR, 2022)

Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations. - Mirko Marras; Ludovico Boratto; Guilherme Ramos; Gianni Fenu (Int. J. Artif. Intell. Educ., 2022)

Enabling cross-continent provider fairness in educational recommender systems. - Elizabeth Gómez; Carlos Shui Zhang; Ludovico Boratto; Maria Salamó; Guilherme Ramos (Future Gener. Comput. Syst., 2022)

Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (Inf. Process. Manag., 2022)

Provider fairness across continents in collaborative recommender systems. - Elizabeth Gómez; Ludovico Boratto; Maria Salamó (Inf. Process. Manag., 2022)

Robust reputation independence in ranking systems for multiple sensitive attributes. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (Mach. Learn., 2022)

33rd ACM conference on hypertext and social media. - Alejandro Bellogín; Ludovico Boratto; Federica Cena (SIGWEB Newsl., 2022)

ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization. - Alejandro Bellogín; Ludovico Boratto; Olga C. Santos; Liliana Ardissono; Bart P. Knijnenburg (SIGWEB Newsl., 2022)

A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery. - João Saúde; Guilherme Ramos; Ludovico Boratto; Carlos Caleiro (ACM Trans. Knowl. Discov. Data, 2022)

Fair performance-based user recommendation in eCoaching systems. - Ludovico Boratto; Salvatore Carta; Walid Iguider; Fabrizio Mulas; Paolo Pilloni (User Model. User Adapt. Interact., 2022)

XRecSys: A framework for path reasoning quality in explainable recommendation. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (Softw. Impacts, 2022)

Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (DP@AI*IA, 2023)

First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U). - Ernesto William De Luca; Erasmo Purificato; Ludovico Boratto; Stefano Marrone 002; Carlo Sansone (CHItaly, 2023)

Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (CIKM, 2023)

Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (CIKM, 2023)

Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. - Giacomo Balloccu; Ludovico Boratto; Christian Cancedda; Gianni Fenu; Mirko Marras (ECIR (3), 2023)

Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (3), 2023)

Towards Explainable Educational Recommendation through Path Reasoning Methods. - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (IIR, 2023)

Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods. - Giacomo Balloccu; Ludovico Boratto; Christian Cancedda; Gianni Fenu; Mirko Marras (IIR, 2023)

Consumer Fairness Benchmark in Recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (IIR, 2023)

Towards Self-Explaining Sequence-Aware Recommendation. - Alejandro Ariza-Casabona; Maria Salamó; Ludovico Boratto; Gianni Fenu (RecSys, 2023)

Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. - Patrik Dokoupil; Ladislav Peska; Ludovico Boratto (RecSys, 2023)

Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. - Vincenzo Paparella; Vito Walter Anelli; Ludovico Boratto; Tommaso Di Noia (RecSys, 2023)

FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. - Mohamed Abdelrazek 003; Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (SIGIR, 2023)

Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. - Patrik Dokoupil; Ladislav Peska; Ludovico Boratto (SIGIR, 2023)

Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (UMAP, 2023)

Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph. - Giacomo Balloccu; Ludovico Boratto; Christian Cancedda; Gianni Fenu; Mirko Marras (CoRR, 2023)

Practical perspectives of consumer fairness in recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (Inf. Process. Manag., 2023)

Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (Knowl. Based Syst., 2023)

Bias characterization, assessment, and mitigation in location-based recommender systems. - Pablo Sánchez 001; Alejandro Bellogín; Ludovico Boratto (Data Min. Knowl. Discov., 2023)

EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration. - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras; Andrea Giovanni Martis (CIKM, 2024)

Explainable Recommender Systems with Knowledge Graphs and Language Models. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras (ECIR (5), 2024)

A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. - Ludovico Boratto; Giulia Cerniglia; Mirko Marras; Alessandra Perniciano; Barbara Pes (ECIR (3), 2024)

Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (ECIR (3), 2024)

First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). - Ludovico Boratto; Daniele Malitesta; Mirko Marras; Giacomo Medda; Cataldo Musto; Erasmo Purificato (ECIR (5), 2024)

MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. - Elizabeth Gómez; David Contreras; Ludovico Boratto; Maria Salamó (ECIR (1), 2024)

Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (IIR, 2024)

Comparing User Interfaces for Customizing Multi-Objective Recommender Systems. - Patrik Dokoupil; Ludovico Boratto; Ladislav Peska (IntRS@RecSys, 2024)

A Comparative Analysis of Text-Based Explainable Recommender Systems. - Alejandro Ariza-Casabona; Ludovico Boratto; Maria Salamó (RecSys, 2024)

KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras; Alessandro Soccol (RecSys, 2024)

Fair Augmentation for Graph Collaborative Filtering. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (RecSys, 2024)

First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). - Ludovico Boratto; Allegra De Filippo; Elisabeth Lex; Francesco Ricci 001 (RecSys, 2024)

DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. - Antonio Ferrara 001; Marco Valentini; Paolo Masciullo; Antonio De Candia; Davide Abbattista; Riccardo Fusco; Claudio Pomo; Vito Walter Anelli; Giovanni Maria Biancofiore; Ludovico Boratto; Fedelucio Narducci (RecSys Challenge, 2024)

AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders. - Elizabeth Gómez; David Contreras; Ludovico Boratto; Maria Salamó (RecSys, 2024)

International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). - Alejandro Bellogín; Ludovico Boratto; Styliani Kleanthous; Elisabeth Lex; Francesca Maridina Malloci; Mirko Marras (SIGIR, 2024)

SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. - Patrik Dokoupil; Ladislav Peska; Ludovico Boratto (SIGIR, 2024)

Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering. - Alex Martinez; Mihnea Tufis; Ludovico Boratto (SIGIR, 2024)

Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches. - Guilherme Ramos; Mirko Marras; Ludovico Boratto (SIGIR, 2024)

Learner-centered Ontology for Explainable Educational Recommendation. - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras; Andrea Giovanni Martis (UMAP (Adjunct Publication), 2024)

User Perceptions of Diversity in Recommender Systems. - Patrik Dokoupil; Ludovico Boratto; Ladislav Peska (UMAP, 2024)

Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems. - Elizabeth Gómez; David Contreras; Maria Salamó; Ludovico Boratto (UMAP, 2024)

Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (UMAP (Adjunct Publication), 2024)

User Modeling and User Profiling: A Comprehensive Survey. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (CoRR, 2024)

How Fair is Your Diffusion Recommender Model? - Daniele Malitesta; Giacomo Medda; Erasmo Purificato; Ludovico Boratto; Fragkiskos D. Malliaros; Mirko Marras; Ernesto William De Luca (CoRR, 2024)

Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024. - Ludovico Boratto; Daniele Malitesta; Mirko Marras; Giacomo Medda; Cataldo Musto; Erasmo Purificato (SIGIR Forum, 2024)

Preface on the special issue on group recommender systems. - Ludovico Boratto; Alexander Felfernig; Martin Stettinger; Marko Tkalcic (User Model. User Adapt. Interact., 2024)

Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (Minds Mach., 2024)

Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems. - Pablo Sánchez 001; Alejandro Bellogín; Ludovico Boratto (Data Min. Knowl. Discov., 2024)

Report on the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024) at SIGIR 2024. - Alejandro Bellogín; Ludovico Boratto; Styliani Kleanthous; Elisabeth Lex; Francesca Maridina Malloci; Mirko Marras (SIGIR Forum, 2024)

International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025). - Alejandro Bellogín; Ludovico Boratto; Styliani Kleanthous; Elisabeth Lex; Francesca Maridina Malloci; Mirko Marras (SIGIR, 2025)

Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism. - Ludovico Boratto; Federica Cena; Mirko Marras; Noemi Mauro; Giacomo Medda (SIGIR, 2025)

Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (SIGIR, 2025)

Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras; Andrea Giovanni Martis (UMAP, 2025)

Human-Centered and Sustainable Recommender Systems. - Allegra De Filippo; Ludovico Boratto; Giuseppe Spillo (UMAP (Adjunct Publication), 2025)

PHaSE Project - Promoting Healthy and Sustainable Eating through Interactive and Explainable AI Methods. - Cataldo Musto; Amon Rapp; Ludovico Boratto (UMAP (Adjunct Publication), 2025)

Data Access under the EU Digital Services Act and its Impact on User Modelling Research. - Erasmo Purificato; Ludovico Boratto; João Vinagre (UMAP (Adjunct Publication), 2025)

GNN's FAME: Fairness-Aware MEssages for Graph Neural Networks. - Erasmo Purificato; Hannan Javed Mahadik; Ludovico Boratto; Ernesto William De Luca (UMAP, 2025)

Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case Study. - Lalit Kishore Vyas; Ludovico Boratto (UMAP, 2025)

Enhancing recommender systems with provider fairness through preference distribution-awareness. - Elizabeth Gómez; David Contreras; Ludovico Boratto; Maria Salamó (Int. J. Inf. Manag. Data Insights, 2025)

Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems. - Patrik Dokoupil; Ludovico Boratto; Ladislav Peska (Inf. Process. Manag., 2025)

ACM Conference on Hypertext and INTR/HT Summer School, September 2025, Chicago, USA. - Yong Zheng; Ludovico Boratto (SIGWEB Newsl., 2025)

Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (IEEE Trans. Big Data, 2025)

GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. - Giacomo Medda; Francesco Fabbri; Mirko Marras; Ludovico Boratto; Gianni Fenu (ACM Trans. Intell. Syst. Technol., 2025)