| Linked open data to support content-based recommender systems T Di Noia, R Mirizzi, VC Ostuni, D Romito, M Zanker Proceedings of the 8th international conference on semantic systems, 1-8, 2012 | 346 | 2012 |
| A system for principled matchmaking in an electronic marketplace T Di Noia, E Di Sciascio, FM Donini, M Mongiello Proceedings of the 12th international conference on World Wide Web, 321-330, 2003 | 258 | 2003 |
| Top-n recommendations from implicit feedback leveraging linked open data VC Ostuni, T Di Noia, E Di Sciascio, R Mirizzi Proceedings of the 7th ACM conference on Recommender systems, 85-92, 2013 | 200 | 2013 |
| RDF2Vec: RDF graph embeddings and their applications P Ristoski, J Rosati, T Di Noia, R De Leone, H Paulheim Semantic Web 10 (4), 721-752, 2019 | 171 | 2019 |
| Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace S Colucci, TD Noia, ED Sciascio, M Mongiello, FM Donini Proceedings of the 6th international conference on Electronic commerce, 41-50, 2004 | 171 | 2004 |
| Semantic matchmaking as non-monotonic reasoning: A description logic approach T Di Noia, E Di Sciascio, FM Donini Journal of Artificial Intelligence Research 29, 269-307, 2007 | 153 | 2007 |
| Sound and music recommendation with knowledge graphs S Oramas, VC Ostuni, TD Noia, X Serra, ED Sciascio ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-21, 2016 | 146 | 2016 |
| A formal approach to ontology-based semantic match of skills descriptions. S Colucci, T Di Noia, E Di Sciascio, FM Donini, M Mongiello, M Mottola J. Univers. Comput. Sci. 9 (12), 1437-1454, 2003 | 141 | 2003 |
| SPrank: Semantic Path-Based Ranking for Top-N Recommendations Using Linked Open Data TD Noia, VC Ostuni, P Tomeo, ED Sciascio ACM Transactions on Intelligent Systems and Technology (TIST) 8 (1), 1-34, 2016 | 127 | 2016 |
| Abductive matchmaking using description logics T Di Noia, E Di Sciascio, FM Donini, M Mongiello IJCAI 3, 337-342, 2003 | 113 | 2003 |
| A survey on adversarial recommender systems: from attack/defense strategies to generative adversarial networks Y Deldjoo, TD Noia, FA Merra ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021 | 111 | 2021 |
| Exploiting the web of data in model-based recommender systems T Di Noia, R Mirizzi, VC Ostuni, D Romito Proceedings of the sixth ACM conference on Recommender systems, 253-256, 2012 | 105 | 2012 |
| A description logic based approach for matching user profiles A Cali, D Calvanese, S Colucci, T Di Noia, FM Donini CEUR Workshop Proceedings, 2004 | 99* | 2004 |
| An analysis of users' propensity toward diversity in recommendations T Di Noia, VC Ostuni, J Rosati, P Tomeo, E Di Sciascio Proceedings of the 8th ACM Conference on Recommender Systems, 285-288, 2014 | 87 | 2014 |
| Concept abduction and contraction in description logics. S Colucci, T Di Noia, E Di Sciascio, FM Donini, M Mongiello Description logics, 2003 | 83 | 2003 |
| Recommender systems and linked open data T Di Noia, VC Ostuni Reasoning Web. Web Logic Rules: 11th International Summer School 2015 …, 2015 | 77 | 2015 |
| An end stage kidney disease predictor based on an artificial neural networks ensemble T Di Noia, VC Ostuni, F Pesce, G Binetti, D Naso, FP Schena, ... Expert systems with applications 40 (11), 4438-4445, 2013 | 73 | 2013 |
| Ranking the linked data: the case of dbpedia R Mirizzi, A Ragone, T Di Noia, E Di Sciascio Web Engineering: 10th International Conference, ICWE 2010, Vienna Austria …, 2010 | 73 | 2010 |
| Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization I Fernández-Tobías, I Cantador, P Tomeo, VW Anelli, T Di Noia User Modeling and User-Adapted Interaction 29, 443-486, 2019 | 71 | 2019 |
| Adaptive multi-attribute diversity for recommender systems T Di Noia, J Rosati, P Tomeo, E Di Sciascio Information Sciences 382, 234-253, 2017 | 70 | 2017 |
Eugenio Di SciascioPolitecnico di BariVerified email at poliba.it
