Nicola Barbieri

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 13

Top Topics

Community Detection

Recommender Systems

Social Influence

Top Venues

Publications

Giuseppe Manco, Ettore Ritacco, Nicola Barbieri
A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Fidel Cacheda, Nicola Barbieri
Click-through prediction when searching local businesses. CERI (2018)
Fidel Cacheda, Roi Blanco, Nicola Barbieri
Characterizing and Predicting Users' Behavior on Local Search Queries. ACM Trans. Web 12 (2) (2018)
Luca Maria Aiello, Nicola Barbieri
Evolution of Ego-networks in Social Media with Link Recommendations. WSDM (2017)
Luca Maria Aiello, Nicola Barbieri
Evolution of Ego-networks in Social Media with Link Recommendations. CoRR (2017)
Yandi Li, Nicola Barbieri, Daniele Quercia
Applying Space Syntax to Online Mapping Tools. WSDM (2017)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Efficient Methods for Influence-Based Network-Oblivious Community Detection. ACM Trans. Intell. Syst. Technol. 8 (2) (2017)
Fidel Cacheda, Nicola Barbieri, Roi Blanco
Click Through Rate Prediction for Local Search Results. WSDM (2017)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
Survival Factorization on Diffusion Networks. ECML/PKDD (1) (2017)
Nicola Barbieri, Fabrizio Silvestri, Mounia Lalmas
Improving Post-Click User Engagement on Native Ads via Survival Analysis. WWW (2016)
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
Validation of matching. IJCNN (2016)
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi
Modeling adoptions and the stages of the diffusion of innovations. Knowl. Inf. Syst. 48 (1) (2016)
Luca Maria Aiello, Ioannis Arapakis, Ricardo Baeza-Yates, Xiao Bai, Nicola Barbieri, Amin Mantrach, Fabrizio Silvestri
The Role of Relevance in Sponsored Search. CIKM (2016)
Nicola Barbieri, Francesco Bonchi, Edoardo Galimberti, Francesco Gullo
Efficient and effective community search. Data Min. Knowl. Discov. 29 (5) (2015)
Elena Demidova, Nicola Barbieri, Stefan Dietze, Adam Funk, Helge Holzmann, Diana Maynard, Nikolaos Papailiou, Wim Peters, Thomas Risse, Dimitris Spiliotopoulos
Analysing and Enriching Focused Semantic Web Archives for Parliament Applications. Future Internet 6 (3) (2014)
Nicola Barbieri, Francesco Bonchi
Influence Maximization with Viral Product Design. SDM (2014)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Who to follow and why: link prediction with explanations. KDD (2014)
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi
Modeling Adoptions and the Stages of the Diffusion of Innovations. ICDM (2014)
Çigdem Aslay, Nicola Barbieri, Francesco Bonchi, Ricardo Baeza-Yates
Online Topic-aware Influence Maximization Queries. EDBT (2014)
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
Validation of Network Reconciliation. CoRR (2014)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Topic-aware social influence propagation models. Knowl. Inf. Syst. 37 (3) (2013)
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi, Antti Ukkonen
CSI: Community-Level Social Influence Analysis. ECML/PKDD (2) (2013)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Cascade-based community detection. WSDM (2013)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco, Marco Carnuccio, Antonio Bevacqua
Probabilistic topic models for sequence data. Mach. Learn. 93 (1) (2013)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Towards Topic-aware Social Influence Propagation Models. SEBD (2013)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Influence-Based Network-Oblivious Community Detection. ICDM (2013)
Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. SDM (2012)
Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco
Probabilistic Sequence Modeling for Recommender Systems. KDIR (2012)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
Hierarchical Latent Factors for Preference Data. SEBD (2012)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Topic-Aware Social Influence Propagation Models. ICDM (2012)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). SEBD (2011)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. SDM (2011)
Nicola Barbieri, Giuseppe Manco
An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering. ECML/PKDD (1) (2011)
Nicola Barbieri
Regularized Gibbs Sampling for User Profiling with Soft Constraints. ASONAM (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
A Block Coclustering Model for Pattern Discovering in Users' Preference Data. IC3K (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale
Modeling item selection and relevance for accurate recommendations: a bayesian approach. RecSys (2011)
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data. IIR (2010)
Nicola Barbieri, Massimo Guarascio, Giuseppe Manco
A Block Mixture Model for Pattern Discovery in Preference Data. ICDM Workshops (2010)