| Topic-aware social influence propagation models N Barbieri, F Bonchi, G Manco Knowledge and information systems 37, 555-584, 2013 | 492 | 2013 |
| Who to follow and why: link prediction with explanations N Barbieri, F Bonchi, G Manco Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 216 | 2014 |
| Cascade-based community detection N Barbieri, F Bonchi, G Manco Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 147 | 2013 |
| Efficient and effective community search N Barbieri, F Bonchi, E Galimberti, F Gullo Data mining and knowledge discovery 29, 1406-1433, 2015 | 145 | 2015 |
| Online Topic-aware Influence Maximization Queries. C Aslay, N Barbieri, F Bonchi, R Baeza-Yates EDBT, 295-306, 2014 | 123 | 2014 |
| Information matching and match validation E Bax, J Mehta, N Barbieri, DG Soriano US Patent 9,947,060, 2018 | 103 | 2018 |
| Csi: Community-level social influence analysis Y Mehmood, N Barbieri, F Bonchi, A Ukkonen Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 98 | 2013 |
| Improving post-click user engagement on native ads via survival analysis N Barbieri, F Silvestri, M Lalmas Proceedings of the 25th International Conference on World Wide Web, 761-770, 2016 | 74 | 2016 |
| Influence-based network-oblivious community detection N Barbieri, F Bonchi, G Manco 2013 IEEE 13th International Conference on Data Mining, 955-960, 2013 | 63 | 2013 |
| Probabilistic topic models for sequence data N Barbieri, G Manco, E Ritacco, M Carnuccio, A Bevacqua Machine learning 93, 5-29, 2013 | 49 | 2013 |
| An analysis of probabilistic methods for top-n recommendation in collaborative filtering N Barbieri, G Manco Machine Learning and Knowledge Discovery in Databases, 172-187, 2011 | 45 | 2011 |
| Generating actionable suggestions for improving user engagement with online advertisements M Trevisiol, G Tolomei, N Barbieri, M Lalmas, PM Sangal, F Silvestri US Patent 10,755,303, 2020 | 43 | 2020 |
| Influence Maximization with Viral Product Design N Barbieri, F Bonchi Siam International conference on data mining, 2014 | 39 | 2014 |
| Probabilistic approaches to recommendations N Barbieri, G Manco, E Ritacco Springer Nature, 2022 | 34 | 2022 |
| Evolution of ego-networks in social media with link recommendations LM Aiello, N Barbieri Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 33 | 2017 |
| Analysing and enriching focused semantic web archives for parliament applications E Demidova, N Barbieri, S Dietze, A Funk, H Holzmann, D Maynard, ... Future Internet 6 (3), 433-456, 2014 | 28 | 2014 |
| Modeling item selection and relevance for accurate recommendations: a bayesian approach N Barbieri, G Costa, G Manco, R Ortale Proceedings of the fifth ACM conference on Recommender systems, 21-28, 2011 | 23 | 2011 |
| Efficient methods for influence-based network-oblivious community detection N Barbieri, F Bonchi, G Manco ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-31, 2016 | 20 | 2016 |
| Modeling adoptions and the stages of the diffusion of innovations Y Mehmood, N Barbieri, F Bonchi Knowledge and Information Systems 48, 1-27, 2016 | 20 | 2016 |
| Click through rate prediction for local search results F Cacheda, N Barbieri, R Blanco Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 16 | 2017 |
Giuseppe MancoICAR-CNR, ISI-CNR, Università della Calabria, Università di PisaBestätigte E-Mail-Adresse bei icar.cnr.it
