A Block Mixture Model for Pattern Discovery in Preference Data. - Nicola Barbieri; Massimo Guarascio 001; Giuseppe Manco 001 (ICDM Workshops, 2010)

An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data. - Nicola Barbieri; Massimo Guarascio 001; Ettore Ritacco (IIR, 2010)

Regularized Gibbs Sampling for User Profiling with Soft Constraints. - Nicola Barbieri (ASONAM, 2011)

Characterizing Relationships through Co-clustering - A Probabilistic Approach. - Nicola Barbieri; Gianni Costa; Giuseppe Manco 001; Ettore Ritacco (KDIR, 2011)

A Block Coclustering Model for Pattern Discovering in Users' Preference Data. - Nicola Barbieri; Gianni Costa; Giuseppe Manco 001; Ettore Ritacco (IC3K, 2011)

An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering. - Nicola Barbieri; Giuseppe Manco 001 (ECML/PKDD (1), 2011)

Modeling item selection and relevance for accurate recommendations: a bayesian approach. - Nicola Barbieri; Gianni Costa; Giuseppe Manco 001; Riccardo Ortale (RecSys, 2011)

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. - Nicola Barbieri; Giuseppe Manco 001; Ettore Ritacco (SDM, 2011)

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). - Nicola Barbieri; Giuseppe Manco 001; Ettore Ritacco (SEBD, 2011)

Probabilistic Sequence Modeling for Recommender Systems. - Nicola Barbieri; Antonio Bevacqua; Marco Carnuccio; Giuseppe Manco 001; Ettore Ritacco (KDIR, 2012)

Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. - Nicola Barbieri; Giuseppe Manco 001; Riccardo Ortale; Ettore Ritacco (SDM, 2012)

Hierarchical Latent Factors for Preference Data. - Nicola Barbieri; Giuseppe Manco 001; Ettore Ritacco (SEBD, 2012)

Influence-Based Network-Oblivious Community Detection. - Nicola Barbieri; Francesco Bonchi; Giuseppe Manco 001 (ICDM, 2013)

CSI: Community-Level Social Influence Analysis. - Yasir Mehmood 002; Nicola Barbieri; Francesco Bonchi; Antti Ukkonen (ECML/PKDD (2), 2013)

Towards Topic-aware Social Influence Propagation Models. - Nicola Barbieri; Francesco Bonchi; Giuseppe Manco 001 (SEBD, 2013)

Cascade-based community detection. - Nicola Barbieri; Francesco Bonchi; Giuseppe Manco 001 (WSDM, 2013)

Topic-aware social influence propagation models. - Nicola Barbieri; Francesco Bonchi; Giuseppe Manco 001 (Knowl. Inf. Syst., 2013)

Probabilistic topic models for sequence data. - Nicola Barbieri; Giuseppe Manco 001; Ettore Ritacco; Marco Carnuccio; Antonio Bevacqua (Mach. Learn., 2013)

Online Topic-aware Influence Maximization Queries. - Çigdem Aslay; Nicola Barbieri; Francesco Bonchi; Ricardo Baeza-Yates (EDBT, 2014)

Who to follow and why: link prediction with explanations. - Nicola Barbieri; Francesco Bonchi; Giuseppe Manco 001 (KDD, 2014)

Influence Maximization with Viral Product Design. - Nicola Barbieri; Francesco Bonchi (SDM, 2014)

Validation of Network Reconciliation. - Ya Le; Eric Bax; Nicola Barbieri; David García-Soriano; Jitesh Mehta; James Li (CoRR, 2014)

Analysing and Enriching Focused Semantic Web Archives for Parliament Applications. - Elena Demidova; Nicola Barbieri; Stefan Dietze; Adam Funk; Helge Holzmann; Diana Maynard; Nikolaos Papailiou; Wim Peters; Thomas Risse 001; Dimitris Spiliotopoulos (Future Internet, 2014)

Probabilistic Approaches to Recommendations - Nicola Barbieri; Giuseppe Manco 001; Ettore Ritacco (Morgan & Claypool Publishers, 2014)

Efficient and effective community search. - Nicola Barbieri; Francesco Bonchi; Edoardo Galimberti; Francesco Gullo (Data Min. Knowl. Discov., 2015)

The Role of Relevance in Sponsored Search. - Luca Maria Aiello; Ioannis Arapakis; Ricardo Baeza-Yates; Xiao Bai 002; Nicola Barbieri; Amin Mantrach; Fabrizio Silvestri (CIKM, 2016)

Validation of matching. - Ya Le; Eric Bax; Nicola Barbieri; David García-Soriano; Jitesh Mehta; James Li (IJCNN, 2016)

Improving Post-Click User Engagement on Native Ads via Survival Analysis. - Nicola Barbieri; Fabrizio Silvestri; Mounia Lalmas (WWW, 2016)

Modeling adoptions and the stages of the diffusion of innovations. - Yasir Mehmood 002; Nicola Barbieri; Francesco Bonchi (Knowl. Inf. Syst., 2016)

Survival Factorization on Diffusion Networks. - Nicola Barbieri; Giuseppe Manco 001; Ettore Ritacco (ECML/PKDD (1), 2017)

Evolution of Ego-networks in Social Media with Link Recommendations. - Luca Maria Aiello; Nicola Barbieri (WSDM, 2017)

Click Through Rate Prediction for Local Search Results. - Fidel Cacheda; Nicola Barbieri; Roi Blanco (WSDM, 2017)

Applying Space Syntax to Online Mapping Tools. - Yandi Li; Nicola Barbieri; Daniele Quercia (WSDM, 2017)

Efficient Methods for Influence-Based Network-Oblivious Community Detection. - Nicola Barbieri; Francesco Bonchi; Giuseppe Manco 001 (ACM Trans. Intell. Syst. Technol., 2017)

Click-through prediction when searching local businesses. - Fidel Cacheda; Nicola Barbieri (CERI, 2018)

Characterizing and Predicting Users' Behavior on Local Search Queries. - Fidel Cacheda; Roi Blanco; Nicola Barbieri (ACM Trans. Web, 2018)

A Factorization Approach for Survival Analysis on Diffusion Networks. - Giuseppe Manco 001; Ettore Ritacco; Nicola Barbieri (IEEE Trans. Knowl. Data Eng., 2021)