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Fedelucio Narducci
Fedelucio Narducci
Full Professor, Politecnico di Bari - Italy
Preverjeni e-poštni naslov na poliba.it - Domača stran
Naslov
Navedeno
Navedeno
Leto
Semantics-aware content-based recommender systems
M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro
Recommender systems handbook, 119-159, 2015
3552015
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
1172009
Conversational Recommender Systems and natural language:: A study through the ConveRSE framework
A Iovine, F Narducci, G Semeraro
Decision Support Systems 131, 113250, 2020
1082020
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
872016
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
862019
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
Towards emotion-aware recommender systems: an affective coherence model based on emotion-driven behaviors
M Polignano, F Narducci, M de Gemmis, G Semeraro
Expert Systems with Applications 170, 114382, 2021
732021
Federank: User controlled feedback with federated recommender systems
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
692021
Healthassistantbot: A personal health assistant for the italian language
M Polignano, F Narducci, A Iovine, C Musto, M De Gemmis, G Semeraro
IEEE Access 8, 107479-107497, 2020
682020
Concept-based item representations for a cross-lingual content-based recommendation process
F Narducci, P Basile, C Musto, P Lops, A Caputo, M de Gemmis, ...
Information Sciences 374, 15-31, 2016
612016
Semantics and content-based recommendations
C Musto, M Gemmis, P Lops, F Narducci, G Semeraro
Recommender systems handbook, 251-298, 2012
582012
Leveraging the linkedin social network data for extracting content-based user profiles
P Lops, M De Gemmis, G Semeraro, F Narducci, C Musto
Proceedings of the fifth ACM conference on Recommender systems, 293-296, 2011
552011
A folksonomy-based recommender system for personalized access to digital artworks
G Semeraro, P Lops, M De Gemmis, C Musto, F Narducci
Journal on Computing and Cultural Heritage (JOCCH) 5 (3), 1-22, 2012
542012
An investigation on the user interaction modes of conversational recommender systems for the music domain
F Narducci, P Basile, M de Gemmis, P Lops, G Semeraro
User Modeling and User-Adapted Interaction 30, 251-284, 2020
522020
A recommender system for connecting patients to the right doctors in the healthnet social network
F Narducci, C Musto, M Polignano, M de Gemmis, P Lops, G Semeraro
Proceedings of the 24th international conference on World Wide Web, 81-82, 2015
462015
Auditing fairness under unawareness through counterfactual reasoning
G Cornacchia, VW Anelli, GM Biancofiore, F Narducci, C Pomo, A Ragone, ...
Information Processing & Management 60 (2), 103224, 2023
452023
Improving the user experience with a conversational recommender system
F Narducci, M de Gemmis, P Lops, G Semeraro
AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018
442018
A semantic content-based recommender system integrating folksonomies for personalized access
P Lops, M de Gemmis, G Semeraro, C Musto, F Narducci, M Bux
Web Personalization in Intelligent Environments, 27-47, 2009
412009
How to put users in control of their data in federated top-N recommendation with learning to rank
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1359-1362, 2021
392021
Learning Preference Models in Recommender Systems
M de Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro
Preference Learning, 387, 2010
392010
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