Ludovico Boratto https://validator.w3.org/feed/docs/rss2.html Auditing recommender systems for user empowerment in Very Large Online Platforms under the Digital Services Act Enhancing recommender systems with provider fairness through preference distribution awareness Short bio Positions How Fair is Your Diffusion Recommender Model? Publications Enhancing recommender systems with provider fairness through preference distribution awareness hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations Blooming Beats: An Interactive Music Recommender SystemGrounded in TRACE Principles and Data Humanism How do users perceive recommender systems’ objectives? Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism GreenFoodLens: Sustainability Labels for Food Recommendation Addressing Personalized Diversity in Eyewear Recommendation:a Lenskart Case Study Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations GNN’s FAME: Fairness-Aware MEssages for Graph Neural Networks GNNFairViz: Visual analysis for fairness in graph neural networks A Comparative Analysis of Text-Based Explainable Recommender Systems Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders Fair Augmentation for Graph Collaborative Filtering Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems User Perceptions of Diversity in Recommender Systems GNNUERS: Unfairness Explanation in Recommender Systems through Counterfactually-Perturbed Graphs Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives Towards Self-Explaining Sequence-Aware Recommendation Looks Can Be Deceiving: Linking User-Item Interactions and User’s Propensity Towards Multi-Objective Recommendations Activities Honors and awards Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation Practical perspectives of consumer fairness in recommendation Bias characterization, assessment, and mitigation in location-based recommender systems Reinforcement recommendation reasoning through knowledge graphs for explanation path quality Projects and Collaborations