| 2017 | WSDM | Evolution of Ego-networks in Social Media with Link Recommendations. | Luca Maria Aiello, Nicola Barbieri |
| 2017 | WSDM | Click Through Rate Prediction for Local Search Results. | Fidel Cacheda, Nicola Barbieri, Roi Blanco |
| 2017 | WSDM | Applying Space Syntax to Online Mapping Tools. | Yandi Li, Nicola Barbieri, Daniele Quercia |
| 2016 | CIKM | The Role of Relevance in Sponsored Search. | Luca Maria Aiello, Ioannis Arapakis, Ricardo Baeza-Yates, Xiao Bai, Nicola Barbieri, Amin Mantrach, Fabrizio Silvestri |
| 2016 | IJCNN | Validation of matching. | Ya Le, Eric Bax, Nicola Barbieri, David Garca-Soriano, Jitesh Mehta, James Li |
| 2016 | WWW | Improving Post-Click User Engagement on Native Ads via Survival Analysis. | Nicola Barbieri, Fabrizio Silvestri, Mounia Lalmas |
| 2014 | EDBT | Online Topic-aware Influence Maximization Queries. | igdem Aslay, Nicola Barbieri, Francesco Bonchi, Ricardo Baeza-Yates |
| 2014 | ICDM | Modeling Adoptions and the Stages of the Diffusion of Innovations. | Yasir Mehmood, Nicola Barbieri, Francesco Bonchi |
| 2014 | KDD | Who to follow and why: link prediction with explanations. | Nicola Barbieri, Francesco Bonchi, Giuseppe Manco |
| 2014 | SDM | Influence Maximization with Viral Product Design. | Nicola Barbieri, Francesco Bonchi |
| 2013 | ICDM | Influence-Based Network-Oblivious Community Detection. | Nicola Barbieri, Francesco Bonchi, Giuseppe Manco |
| 2013 | WSDM | Cascade-based community detection. | Nicola Barbieri, Francesco Bonchi, Giuseppe Manco |
| 2012 | IC3K | Probabilistic Sequence Modeling for Recommender Systems. | Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco |
| 2012 | ICDM | Topic-Aware Social Influence Propagation Models. | Nicola Barbieri, Francesco Bonchi, Giuseppe Manco |
| 2012 | SDM | Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. | Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco |
| 2011 | IC3K | Characterizing Relationships through Co-clustering - A Probabilistic Approach. | Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco |
| 2011 | IC3K | A Block Coclustering Model for Pattern Discovering in Users' Preference Data. | Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco |
| 2011 | RecSys | Modeling item selection and relevance for accurate recommendations: a bayesian approach. | Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale |
| 2011 | SDM | A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. | Nicola Barbieri, Giuseppe Manco, Ettore Ritacco |
| 2010 | ICDM | A Block Mixture Model for Pattern Discovery in Preference Data. | Nicola Barbieri, Massimo Guarascio, Giuseppe Manco |