Gender, rank, and social networks on an enterprise social media platform G Di Tommaso, M Gatti, M Iannotta, A Mehra, G Stilo, P Velardi Social Networks 62, 58-67, 2020 | 31 | 2020 |
Wiki-MID: a very large multi-domain interests dataset of Twitter users with mappings to Wikipedia G Di Tommaso, S Faralli, G Stilo, P Velardi The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018 | 17 | 2018 |
Semantic enabled recommender system for micro-blog users S Faralli, G Di Tommaso, P Velardi 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 4 | 2016 |
A gendered analysis of leadership in enterprise social networks G Di Tommaso, G Stilo, P Velardi Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017 | 3 | 2017 |
Women leadership in enterprise social networks A SNA toolkit to foster the emergence of informal leaders in organizations G Di Tommaso, G Stilo, P Velardi 2015 International Conference on Information Society (i-Society), 73-78, 2015 | 3 | 2015 |
Detecting network leaders in enterprises G Di Tommaso, G Stilo, P Velardi 2017 IEEE 21st International Conference on Computer Supported Cooperative …, 2017 | 2 | 2017 |
An Enterprise Social Analytics Dashboard to Support Competence Valorization and Diversity Management G Di Tommaso, S Faralli, M Gatti, M Iannotta, G Stilo, P Velardi Applied Sciences 11 (18), 8385, 2021 | 1 | 2021 |
SeRenA: a semantic recommender for all G Di Tommaso Proceedings of the 12th ACM Conference on Recommender Systems, 558-562, 2018 | 1 | 2018 |
A large multilingual and multi-domain dataset for recommender systems G Di Tommaso, S Faralli, P Velardi LREC 2018, Eleventh International Conference on Language Resources and …, 2018 | 1 | 2018 |
Twixonomy Visualization Interface: How to Wander Around User Preferences. G Di Tommaso, G Stilo EnCHIReS@ EICS, 32-41, 2017 | 1 | 2017 |
Analysis of women leadership in enterprise social networks G Di Tommaso, G Stilo, P Velardi arXiv preprint arXiv:1507.04900, 2015 | | 2015 |
WIKI-MID: A Very Large Multi-Domain Interests Dataset Of Twitter Users With Mappings to Wikipedia P Velardi, S Faralli, G Di Tommaso, G Stilo | | |
A method for multidomain entity recommenders G Di Tommaso | | |