| 2026 | ECIR | Bribery-Resistant Ranking Systems: A Multipartite User-Agnostic Framework for AI Act Compliance. | Martim Baltazar, Ludovico Boratto, Mirko Marras, Guilherme Ramos |
| 2026 | ECIR | FoodNexus: Massive Food Knowledge for Recommender Systems. | Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda, Giovanni Zedda |
| 2026 | ECIR | A Reproducible and Fair Evaluation of Partition-Aware Collaborative Filtering. | Domenico de Gioia, Claudio Pomo, Ludovico Boratto, Tommaso Di Noia |
| 2026 | ECIR | GREAT: A Group Recommendation Evaluation and Analysis Tool. | Ariel Smith, David Contreras, Maria Salam, Ludovico Boratto |
| 2026 | ICPRAM | Evaluating Generalizability of Convolutional Deep Learning Models for Plant Disease Classification. | Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Marco Tocco |
| 2026 | WWW | Auditing Textual Context in Sequence-Aware Explainable Recommendation. | Alejandro Ariza-Casabona, Maria Salam, Ludovico Boratto |
| 2026 | SIGIR | Mind the Metric: Reproducibility and Fair Benchmarking of Spectral Graph Models for Collaborative Filtering. | Domenico de Gioia, Claudio Pomo, Ludovico Boratto, Tommaso Di Noia |
| 2026 | SIGIR | Price-Aware Recommender Systems: A Cross-Paradigm Reproducibility Study. | Fernando Medina-Quispe, David Contreras Aguilar, Ludovico Boratto, Maria Salam |
| 2026 | SIGIR | Temporal User-Agnostic Ranking: Detecting Preference Evolution while Preserving Ethical Principles. | Guilherme Ramos, Ludovico Boratto, Mirko Marras |
| 2025 | CIKM | hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs. | Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda, Alessandro Soccol |
| 2025 | DCAI | Bias Classification and Interpretation in Web Content Via Language Models for Trustworthy Non-personalized Information Discovery. | Massimo Bartoletti, Ludovico Boratto, Mirko Marras, Diego Reforgiato Recupero, Arturo Rodriguez, Giuseppe Scarpi |
| 2025 | RecSys | GreenFoodLens: Sustainability Labels for Food Recommendation. | Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda, Giovanni Murgia |
| 2025 | RecSys | Second International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2025). | Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesca Maridina Malloci, Noemi Mauro, Francesco Ricci |
| 2025 | RecSys | How Do Users Perceive Recommender Systems' Objectives? | Patrik Dokoupil, Ludovico Boratto, Ladislav Peska |
| 2025 | RecSys | Auditing Recommender Systems for User Empowerment in Very Large Online Platforms under the Digital Services Act. | Matteo Fabbri, Ludovico Boratto |
| 2025 | RecSys | PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations. | Ibrahim Al Hazwani, Oliver Robin Aschwanden, Oana Inel, Jrgen Bernard, Ludovico Boratto |
| 2025 | RecSys | Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism. | Ibrahim Al Hazwani, Daniel Lutziger, Carlos Kirchdorfer, Luca Huber, Oliver Robin Aschwanden, Jrgen Bernard, Ludovico Boratto |
| 2025 | RecSys | How Fair is Your Diffusion Recommender Model? | Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Mirko Marras, Fragkiskos D. Malliaros, Ludovico Boratto |
| 2025 | SIGIR | International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025). | Alejandro Bellogn, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras |
| 2025 | SIGIR | 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 |
| 2025 | SIGIR | Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations. | Guilherme Ramos, Ludovico Boratto, Mirko Marras |
| 2024 | CIKM | 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 |
| 2024 | ECIR | Explainable Recommender Systems with Knowledge Graphs and Language Models. | Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras |
| 2024 | ECIR | A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. | Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes |
| 2024 | ECIR | Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2024 | ECIR | First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). | Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato |
| 2024 | ECIR | MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. | Elizabeth Gmez, David Contreras, Ludovico Boratto, Maria Salam |
| 2024 | RecSys | A Comparative Analysis of Text-Based Explainable Recommender Systems. | Alejandro Ariza-Casabona, Ludovico Boratto, Maria Salam |
| 2024 | RecSys | KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation. | Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol |
| 2024 | RecSys | Fair Augmentation for Graph Collaborative Filtering. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2024 | RecSys | First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). | Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci |
| 2024 | RecSys | DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. | Antonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio De Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci |
| 2024 | RecSys | AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders. | Elizabeth Gmez, David Contreras, Ludovico Boratto, Maria Salam |
| 2024 | SIGIR | International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). | Alejandro Bellogn, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras |
| 2024 | SIGIR | SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. | Patrik Dokoupil, Ladislav Peska, Ludovico Boratto |
| 2024 | SIGIR | Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering. | Alex Martinez, Mihnea Tufis, Ludovico Boratto |
| 2024 | SIGIR | Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches. | Guilherme Ramos, Mirko Marras, Ludovico Boratto |
| 2023 | CIKM | Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2023 | CIKM | Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges. | Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca |
| 2023 | ECIR | 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 |
| 2023 | ECIR | Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). | Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| 2023 | RecSys | Towards Self-Explaining Sequence-Aware Recommendation. | Alejandro Ariza-Casabona, Maria Salam, Ludovico Boratto, Gianni Fenu |
| 2023 | RecSys | Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. | Patrik Dokoupil, Ladislav Peska, Ludovico Boratto |
| 2023 | RecSys | Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. | Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia |
| 2023 | SIGIR | FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. | Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca |
| 2023 | SIGIR | Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. | Patrik Dokoupil, Ladislav Peska, Ludovico Boratto |
| 2022 | CIKM | 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 |
| 2022 | ECIR | Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. | Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2022 | ECIR | Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). | Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| 2022 | RecSys | Hands on Explainable Recommender Systems with Knowledge Graphs. | Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras |
| 2022 | SIGIR | Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. | Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras |
| 2022 | SIGIR | Regulating Group Exposure for Item Providers in Recommendation. | Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu |
| 2021 | CIKM | Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. | Luca Piras, Ludovico Boratto, Guilherme Ramos |
| 2021 | CIKM | Reputation Equity in Ranking Systems. | Guilherme Ramos, Ludovico Boratto, Mirko Marras |
| 2021 | ECIR | From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. | Alejandro Ariza, Francesco Fabbri, Ludovico Boratto, Maria Salam |
| 2021 | ECIR | Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). | Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| 2021 | ECIR | Disparate Impact in Item Recommendation: A Case of Geographic Imbalance. | Elizabeth Gmez, Ludovico Boratto, Maria Salam |
| 2021 | ICDE | Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. | Ludovico Boratto, Mirko Marras |
| 2021 | ICWSM | What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. | Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, Andr Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet |
| 2021 | SIGIR | The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. | Elizabeth Gmez, Carlos Shui Zhang, Ludovico Boratto, Maria Salam, Mirko Marras |
| 2021 | WSDM | Advances in Bias-aware Recommendation on the Web. | Ludovico Boratto, Mirko Marras |
| 2020 | ECIR | International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). | Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo |
| 2020 | ICWSM | The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. | Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo |
| 2020 | SIGIR | Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. | Guilherme Ramos, Ludovico Boratto |
| 2020 | WISE | A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects. | Francesca Maridina Malloci, Laura Portell Penads, Ludovico Boratto, Gianni Fenu |
| 2019 | ECIR | The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses. | Ludovico Boratto, Gianni Fenu, Mirko Marras |
| 2018 | CIKM | Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). | Ludovico Boratto, Stefano Faralli, Christian Morbidoni, Gabriella Pasi, Giovanni Stilo |
| 2018 | ECIR | 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 |
| 2018 | RecSys | Predicting Workout Quality to Help Coaches Support Sportspeople. | Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni |
| 2018 | WWW | BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration. | Mirko Marras, Matteo Manca, Ludovico Boratto, Gianni Fenu, David Laniado |
| 2017 | EICS | Towards Chatbots as Recommendation Interfaces. | Maurizio Atzori, Ludovico Boratto, Lucio Davide Spano |
| 2017 | EICS | Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS). | Ludovico Boratto, Salvatore Carta, Gianni Fenu |
| 2017 | RecSys | Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. | Paolo Pilloni, Luca Piras, Ludovico Boratto, Salvatore Carta, Gianni Fenu, Fabrizio Mulas |
| 2016 | ECIR | Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges. | Ludovico Boratto |
| 2016 | EICS | Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion. | Ludovico Boratto, Salvatore Carta, Roberto Saia |
| 2016 | EICS | Workshop on engineering human-computer interaction in recommender systems. | Ludovico Boratto, Lucio Davide Spano, Salvatore Carta, Gianni Fenu |
| 2016 | ICDM | Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items. | Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia |
| 2016 | RecSys | Group Recommender Systems. | Ludovico Boratto |
| 2016 | RecSys | Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence. | Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia |
| 2015 | BigData | A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising. | Roberto Saia, Ludovico Boratto, Salvatore Carta |
| 2015 | IC3K | Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams. | Roberto Saia, Ludovico Boratto, Salvatore Carta |
| 2014 | DATA | Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System. | Matteo Manca, Ludovico Boratto, Salvatore Carta |
| 2014 | DATA | Using Behavioral Data Mining to Produce Friend Recommendations in a Social Bookmarking System. | Matteo Manca, Ludovico Boratto, Salvatore Carta |
| 2014 | DaWaK | Impact of Content Novelty on the Accuracy of a Group Recommender System. | Ludovico Boratto, Salvatore Carta |
| 2014 | IC3K | Semantic Coherence-based User Profile Modeling in the Recommender Systems Context. | Roberto Saia, Ludovico Boratto, Salvatore Carta |
| 2010 | RecSys | Groups Identification and Individual Recommendations in Group Recommendation Algorithms. | Ludovico Boratto, Salvatore Carta, Michele Satta |