Marco de Gemmis
Marco de Gemmis
Researcher in Computer Science, University of Bari Aldo Moro
Verified email at di.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
19132011
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
2332007
Semantics-aware content-based recommender systems
M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro
Recommender systems handbook, 119-159, 2015
1922015
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
1822008
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
1732008
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
902007
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
892005
Learning word embeddings from wikipedia for content-based recommender systems
C Musto, G Semeraro, M de Gemmis, P Lops
European Conference on Information Retrieval, 729-734, 2016
882016
Preference learning in recommender systems
M De Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro
Preference Learning 41, 41-55, 2009
872009
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
802015
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
722013
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
682009
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 (1), 41-61, 2013
672013
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
582015
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
572016
UNIBA: JIGSAW algorithm for word sense disambiguation
P Basile, M De Gemmis, AL Gentile, P Lops, G Semeraro
Proceedings of the Fourth International Workshop on Semantic Evaluations …, 2007
552007
Human decision making and recommender systems
A Jameson, MC Willemsen, A Felfernig, M de Gemmis, P Lops, ...
Recommender systems handbook, 611-648, 2015
542015
Alberto: Italian BERT language understanding model for NLP challenging tasks based on tweets
M Polignano, P Basile, M De Gemmis, G Semeraro, V Basile
6th Italian Conference on Computational Linguistics, CLiC-it 2019 2481, 1-6, 2019
502019
Introducing linked open data in graph-based recommender systems
C Musto, P Basile, P Lops, M de Gemmis, G Semeraro
Information Processing & Management 53 (2), 405-435, 2017
492017
Semantics-aware graph-based recommender systems exploiting linked open data
C Musto, P Lops, P Basile, M de Gemmis, G Semeraro
Proceedings of the 2016 conference on user modeling adaptation and …, 2016
482016
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Articles 1–20