| 2026 | ECIR | SynIRgy: Synthetic Data and Simulation Synergy for Information Retrieval. | Manel Slokom, Alejandro Bellogn, Mayank Singh, Andrea Barraza-Urbina |
| 2026 | SIGIR | ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning. | Potito Aghilar, Sabino Roccotelli, Vito Walter Anelli, Alejandro Bellogn, Michelantonio Trizio, Tommaso Di Noia |
| 2025 | ECIR | Improving Novelty and Diversity of Nearest-Neighbors Recommendation by Exploiting Dissimilarities. | Pablo Snchez, Javier Sanz-Cruzado, Alejandro Bellogn |
| 2025 | ECIR | The Impact of Mainstream-Driven Algorithms on Recommendations for Children. | Robin Ungruh, Alejandro Bellogn, Maria Soledad Pera |
| 2025 | IDEAL | The Impact of Contexts in Contextual Matrix Factorization Models. | Alejandro Bellogn |
| 2025 | IDEAL | A Comparative Fairness Study in News Recommendation Systems. | Marta Salcedo, Alejandro Bellogn |
| 2025 | RecSys | Context Trails: A Dataset to Study Contextual and Route Recommendation. | Pablo Snchez, Alejandro Bellogn, Jose L. Jorro-Aragoneses |
| 2025 | RecSys | Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study. | Robin Ungruh, Alejandro Bellogn, Dominik Kowald, Maria Soledad Pera |
| 2025 | RecSys | From Previous Plays to Long-Term Tastes: Exploring the Long-term Reliability of Recommender Systems Simulations for Children. | Robin Ungruh, Alejandro Bellogn, Maria Soledad Pera |
| 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 | From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations. | Robin Ungruh, Alejandro Bellogn, Maria Soledad Pera |
| 2024 | ECIR | Recommendation Fairness in eParticipation: Listening to Minority, Vulnerable and NIMBY Citizens. | Marina Alonso-Corts, Ivn Cantador, Alejandro Bellogn |
| 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 |
| 2023 | RecSys | Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. | Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogn, Eugenio Di Sciascio, Tommaso Di Noia |
| 2021 | FlAIRS | MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. | Vito Walter Anelli, Alejandro Bellogn, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2021 | RecSys | V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. | Vito Walter Anelli, Alejandro Bellogn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2021 | RecSys | Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). | Vito Walter Anelli, Alejandro Bellogn, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo |
| 2021 | RecSys | Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. | Vito Walter Anelli, Alejandro Bellogn, Tommaso Di Noia, Claudio Pomo |
| 2021 | SIGIR | Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. | Vito Walter Anelli, Alejandro Bellogn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2020 | RecSys | Recommender Systems and Misinformation: The Problem or the Solution? | Miriam Fernndez, Alejandro Bellogn |
| 2019 | RecSys | Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics. | Pablo Snchez, Alejandro Bellogn |
| 2018 | ECIR | Time-Aware Novelty Metrics for Recommender Systems. | Pablo Snchez, Alejandro Bellogn |
| 2018 | RecSys | Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions. | Pablo Snchez, Alejandro Bellogn |
| 2018 | RecSys | Challenges on Evaluating Venue Recommendation Approaches: Position Paper. | Pablo Snchez, Alejandro Bellogn |
| 2018 | RecSys | Towards an open, collaborative REST API for recommender systems. | Ivn Garca, Alejandro Bellogn |
| 2018 | RecSys | On the robustness and discriminative power of information retrieval metrics for top-N recommendation. | Daniel Valcarce, Alejandro Bellogn, Javier Parapar, Pablo Castells |
| 2017 | RecSys | Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios. | Alejandro Bellogn, Pablo Snchez |
| 2017 | RecSys | Personalized recommendations in e-participation: offline experiments for the 'Decide Madrid' platform. | Ivn Cantador, Alejandro Bellogn, Mara E. Corts-Cediel, Olga Gil |
| 2017 | RecSys | Evaluating Decision-Aware Recommender Systems. | Rus M. Mesas, Alejandro Bellogn |
| 2015 | RecSys | Replicable Evaluation of Recommender Systems. | Alan Said, Alejandro Bellogn |
| 2015 | SIGIR | Improving Contextual Suggestions using Open Web Domain Knowledge. | Thaer Samar, Alejandro Bellogn, Arjen P. de Vries |
| 2014 | CSCW | Do recommendations matter?: news recommendation in real life. | Alan Said, Alejandro Bellogn, Jimmy Lin, Arjen P. de Vries |
| 2014 | ECIR | Challenges on Combining Open Web and Dataset Evaluation Results: The Case of the Contextual Suggestion Track. | Alejandro Bellogn, Thaer Samar, Arjen P. de Vries, Alan Said |
| 2014 | ECIR | Effects of Position Bias on Click-Based Recommender Evaluation. | Katja Hofmann, Anne Schuth, Alejandro Bellogn, Maarten de Rijke |
| 2014 | RecSys | REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. | Panagiotis Adamopoulos, Alejandro Bellogn, Pablo Castells, Paolo Cremonesi, Harald Steck |
| 2014 | RecSys | Implicit vs. explicit trust in social matrix factorization. | Soude Fazeli, Babak Loni, Alejandro Bellogn, Hendrik Drachsler, Peter B. Sloep |
| 2014 | RecSys | Comparative recommender system evaluation: benchmarking recommendation frameworks. | Alan Said, Alejandro Bellogn |
| 2014 | RecSys | Rival: a toolkit to foster reproducibility in recommender system evaluation. | Alan Said, Alejandro Bellogn |
| 2014 | RecSys | You are What You Eat! Tracking Health Through Recipe Interactions. | Alan Said, Alejandro Bellogn |
| 2013 | CIKM | A month in the life of a production news recommender system. | Alan Said, Jimmy Lin, Alejandro Bellogn, Arjen P. de Vries |
| 2013 | DaWaK | Document Difficulty Framework for Semi-automatic Text Classification. | Miguel Martinez-Alvarez, Alejandro Bellogn, Thomas Roelleke |
| 2013 | ICTIR | Understanding Similarity Metrics in Neighbour-based Recommender Systems. | Alejandro Bellogn, Arjen P. de Vries |
| 2013 | ICWSM | Artist Popularity: Do Web and Social Music Services Agree? | Alejandro Bellogn, Arjen P. de Vries, Jiyin He |
| 2013 | RecSys | Workshop on reproducibility and replication in recommender systems evaluation: RepSys. | Alejandro Bellogn, Pablo Castells, Alan Said, Domonkos Tikk |
| 2013 | RecSys | Probabilistic collaborative filtering with negative cross entropy. | Alejandro Bellogn, Javier Parapar, Pablo Castells |
| 2012 | CIKM | Time feature selection for identifying active household members. | Pedro G. Campos, Alejandro Bellogn, Fernando Dez, Ivn Cantador |
| 2012 | RecSys | Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. | Alejandro Bellogn, Javier Parapar |
| 2011 | CIKM | Structured collaborative filtering. | Alejandro Bellogn, Jun Wang, Pablo Castells |
| 2011 | ECIR | Text Retrieval Methods for Item Ranking in Collaborative Filtering. | Alejandro Bellogn, Jun Wang, Pablo Castells |
| 2011 | ICTIR | Predicting the Performance of Recommender Systems: An Information Theoretic Approach. | Alejandro Bellogn, Pablo Castells, Ivn Cantador |
| 2011 | RecSys | Predicting performance in recommender systems. | Alejandro Bellogn |
| 2011 | RecSys | Precision-oriented evaluation of recommender systems: an algorithmic comparison. | Alejandro Bellogn, Pablo Castells, Ivn Cantador |
| 2011 | SIGIR | Self-adjusting hybrid recommenders based on social network analysis. | Alejandro Bellogn, Pablo Castells, Ivn Cantador |
| 2010 | ECIR | A Performance Prediction Approach to Enhance Collaborative Filtering Performance. | Alejandro Bellogn, Pablo Castells |
| 2010 | RecSys | A study of heterogeneity in recommendations for a social music service. | Alejandro Bellogn, Ivn Cantador, Pablo Castells |
| 2010 | RecSys | Content-based recommendation in social tagging systems. | Ivn Cantador, Alejandro Bellogn, David Vallet |
| 2009 | FQAS | Predicting Neighbor Goodness in Collaborative Filtering. | Alejandro Bellogn, Pablo Castells |