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Marco de Gemmis
Marco de Gemmis
Associate Professor in Computer Science, University of Bari Aldo Moro
Verified email at uniba.it
Title
Cited by
Cited by
Year
Content-based recommender systems: State of the art and trends
P Lops, M De Gemmis, G Semeraro
Recommender systems handbook, 73-105, 2011
28452011
Semantics-aware content-based recommender systems
M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro
Recommender systems handbook, 119-159, 2015
3212015
Alberto: Italian BERT language understanding model for NLP challenging tasks based on tweets
M Polignano, P Basile, M De Gemmis, G Semeraro, V Basile
CEUR workshop proceedings 2481, 1-6, 2019
2652019
Introducing serendipity in a content-based recommender system
L Iaquinta, M De Gemmis, P Lops, G Semeraro, M Filannino, P Molino
2008 eighth international conference on hybrid intelligent systems, 168-173, 2008
2602008
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation
M Degemmis, P Lops, G Semeraro
User Modeling and User-Adapted Interaction 17 (3), 217-255, 2007
2562007
Integrating tags in a semantic content-based recommender
M De Gemmis, P Lops, G Semeraro, P Basile
Proceedings of the 2008 ACM conference on Recommender systems, 163-170, 2008
2062008
An investigation on the serendipity problem in recommender systems
M De Gemmis, P Lops, G Semeraro, C Musto
Information Processing & Management 51 (5), 695-717, 2015
1482015
Learning word embeddings from wikipedia for content-based recommender systems
C Musto, G Semeraro, M De Gemmis, P Lops
Advances in Information Retrieval: 38th European Conference on IR Research …, 2016
1402016
Human decision making and recommender systems
L Chen, M De Gemmis, A Felfernig, P Lops, F Ricci, G Semeraro
ACM Transactions on Interactive Intelligent Systems (TiiS) 3 (3), 1-7, 2013
1272013
Human decision making and recommender systems
A Jameson, MC Willemsen, A Felfernig, M De Gemmis, P Lops, ...
Recommender systems handbook, 611-648, 2015
1112015
Preference learning in recommender systems
M De Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro
Preference Learning 41 (41-55), 48, 2009
1112009
Combining learning and word sense disambiguation for intelligent user profiling
G Semeraro, M Degemmis, P Lops, P Basile
Proceedings of the 20th international joint conference on Artifical …, 2007
992007
A multi-criteria recommender system exploiting aspect-based sentiment analysis of users' reviews
C Musto, M De Gemmis, G Semeraro, P Lops
Proceedings of the eleventh ACM conference on recommender systems, 321-325, 2017
972017
Personalized finance advisory through case-based recommender systems and diversification strategies
C Musto, G Semeraro, P Lops, M De Gemmis, G Lekkas
Decision Support Systems 77, 100-111, 2015
962015
Ontologically-enriched unified user modeling for cross-system personalization
B Mehta, C Niederee, A Stewart, M Degemmis, P Lops, G Semeraro
User Modeling 2005, 151-151, 2005
922005
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
C Musto, G Semeraro, M De Gemmis, P Lops
Recsys posters 1441, 2015
902015
Explod: A framework for explaining recommendations based on the linked open data cloud
C Musto, F Narducci, P Lops, M De Gemmis, G Semeraro
Proceedings of the 10th ACM Conference on Recommender Systems, 151-154, 2016
852016
Content-based and collaborative techniques for tag recommendation: an empirical evaluation
P Lops, M De Gemmis, G Semeraro, C Musto, F Narducci
Journal of Intelligent Information Systems 40, 41-61, 2013
812013
Linked open data-based explanations for transparent recommender systems
C Musto, F Narducci, P Lops, M de Gemmis, G Semeraro
International Journal of Human-Computer Studies 121, 93-107, 2019
802019
Knowledge infusion into content-based recommender systems
G Semeraro, P Lops, P Basile, M de Gemmis
Proceedings of the third ACM conference on Recommender systems, 301-304, 2009
782009
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