Nicola Barbieri

40 papers A* 5A 9B 3C 1Journal 10Unranked 11
YearRankTypeTitle / Venue / Authors
2021 J jnl
A Factorization Approach for Survival Analysis on Diffusion Networks.
IEEE Trans. Knowl. Data Eng.
Giuseppe Manco, Ettore Ritacco, Nicola Barbieri
2018 J jnl
Characterizing and Predicting Users' Behavior on Local Search Queries.
ACM Trans. Web
Fidel Cacheda, Roi Blanco, Nicola Barbieri
2018 — conf
Click-through prediction when searching local businesses.
CERI
Fidel Cacheda, Nicola Barbieri
2017 A conf
Applying Space Syntax to Online Mapping Tools.
WSDM
Yandi Li, Nicola Barbieri, Daniele Quercia
2017 A conf
Click Through Rate Prediction for Local Search Results.
WSDM
Fidel Cacheda, Nicola Barbieri, Roi Blanco
2017 J jnl
Efficient Methods for Influence-Based Network-Oblivious Community Detection.
ACM Trans. Intell. Syst. Technol.
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
2017 A conf
Evolution of Ego-networks in Social Media with Link Recommendations.
WSDM
Luca Maria Aiello, Nicola Barbieri
2017 J jnl
Evolution of Ego-networks in Social Media with Link Recommendations.
CoRR
Luca Maria Aiello, Nicola Barbieri
2017 — conf
Survival Factorization on Diffusion Networks.
ECML/PKDD (1)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2016 A* conf
Improving Post-Click User Engagement on Native Ads via Survival Analysis.
WWW
Nicola Barbieri, Fabrizio Silvestri, Mounia Lalmas
2016 J jnl
Modeling adoptions and the stages of the diffusion of innovations.
Knowl. Inf. Syst.
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi
2016 A conf
The Role of Relevance in Sponsored Search.
CIKM
Luca Maria Aiello, Ioannis Arapakis, Ricardo Baeza-Yates, Xiao Bai, Nicola Barbieri, Amin Mantrach, Fabrizio Silvestri
2016 B conf
Validation of matching.
IJCNN
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
2015 J jnl
Efficient and effective community search.
Data Min. Knowl. Discov.
Nicola Barbieri, Francesco Bonchi, Edoardo Galimberti, Francesco Gullo
2014 J jnl
Analysing and Enriching Focused Semantic Web Archives for Parliament Applications.
Future Internet
Elena Demidova, Nicola Barbieri, Stefan Dietze, Adam Funk, Helge Holzmann, Diana Maynard, Nikolaos Papailiou, Wim Peters, Thomas Risse, Dimitris Spiliotopoulos
2014 A conf
Influence Maximization with Viral Product Design.
SDM
Nicola Barbieri, Francesco Bonchi
2014 A* conf
Modeling Adoptions and the Stages of the Diffusion of Innovations.
ICDM
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi
2014 B conf
Online Topic-aware Influence Maximization Queries.
EDBT
Çigdem Aslay, Nicola Barbieri, Francesco Bonchi, Ricardo Baeza-Yates
2014 — book
Probabilistic Approaches to Recommendations
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2014 J jnl
Validation of Network Reconciliation.
CoRR
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
2014 A* conf
Who to follow and why: link prediction with explanations.
KDD
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
2013 — conf
CSI: Community-Level Social Influence Analysis.
ECML/PKDD (2)
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi, Antti Ukkonen
2013 A conf
Cascade-based community detection.
WSDM
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
2013 A* conf
Influence-Based Network-Oblivious Community Detection.
ICDM
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
2013 J jnl
Probabilistic topic models for sequence data.
Mach. Learn.
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco, Marco Carnuccio, Antonio Bevacqua
2013 J jnl
Topic-aware social influence propagation models.
Knowl. Inf. Syst.
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
2013 — conf
Towards Topic-aware Social Influence Propagation Models.
SEBD
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
2012 A conf
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.
SDM
Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2012 — conf
Hierarchical Latent Factors for Preference Data.
SEBD
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2012 — conf
Probabilistic Sequence Modeling for Recommender Systems.
KDIR
Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco
2012 A* conf
Topic-Aware Social Influence Propagation Models.
ICDM
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
2011 C conf
A Block Coclustering Model for Pattern Discovering in Users' Preference Data.
IC3K
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
2011 — conf
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract).
SEBD
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2011 A conf
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data.
SDM
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2011 — conf
An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering.
ECML/PKDD (1)
Nicola Barbieri, Giuseppe Manco
2011 — conf
Characterizing Relationships through Co-clustering - A Probabilistic Approach.
KDIR
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
2011 A conf
Modeling item selection and relevance for accurate recommendations: a bayesian approach.
RecSys
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale
2011 B conf
Regularized Gibbs Sampling for User Profiling with Soft Constraints.
ASONAM
Nicola Barbieri
2010 — conf
A Block Mixture Model for Pattern Discovery in Preference Data.
ICDM Workshops
Nicola Barbieri, Massimo Guarascio, Giuseppe Manco
2010 — conf
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data.
IIR
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco