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ORCIDVito Claudio Ostuni
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Publications
- 2017
[j4]Sergio Oramas, Vito Claudio Ostuni, Tommaso Di Noia, Xavier Serra
, Eugenio Di Sciascio:
Sound and Music Recommendation with Knowledge Graphs. ACM Trans. Intell. Syst. Technol. 8(2): 21:1-21:21 (2017)- 2016
- [j3]Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio, Roberto Mirizzi, Claudio Bartolini:
Building a relatedness graph from Linked Open Data: A case study in the IT domain. Expert Syst. Appl. 44: 354-366 (2016) - [j2]Tommaso Di Noia, Vito Claudio Ostuni, Paolo Tomeo, Eugenio Di Sciascio:
SPrank: Semantic Path-Based Ranking for Top-N Recommendations Using Linked Open Data. ACM Trans. Intell. Syst. Technol. 8(1): 9:1-9:34 (2016) - 2015
- [c14]Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio:
Adaptive Diversity in Recommender Systems. IIR 2015 - [c13]Tommaso Di Noia, Vito Claudio Ostuni:
Recommender Systems and Linked Open Data. Reasoning Web 2015: 88-113 - [c12]Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Sergio Oramas, Xavier Serra:
A Semantic Hybrid Approach for Sound Recommendation. WWW (Companion Volume) 2015: 85-86 - 2014
- [c11]Andrea Calì, Roberto De Virgilio, Tommaso Di Noia, Luca Menichetti, Roberto Mirizzi, Luca Nardini, Vito Claudio Ostuni, Fabrizio Rebecca, Marco Ungania:
Semantic Search in RealFoodTrade. AMW 2014 - [c10]Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Eugenio Di Sciascio:
A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel. EC-Web 2014: 89-100 - [c9]Tommaso Di Noia, Iván Cantador, Vito Claudio Ostuni:
Linked Open Data-Enabled Recommender Systems: ESWC 2014 Challenge on Book Recommendation. SemWebEval@ESWC 2014: 129-143 - [c8]Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Eugenio Di Sciascio:
Top-N Recommendations from Implicit Feedback Leveraging Linked Open Data. IIR 2014: 20-27 - [c7]Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio:
An analysis of users' propensity toward diversity in recommendations. RecSys 2014: 285-288 - 2013
- [j1]Tommaso Di Noia, Vito Claudio Ostuni, Francesco Pesce, Giulio Binetti, David Naso, Francesco Paolo Schena, Eugenio Di Sciascio:
An end stage kidney disease predictor based on an artificial neural networks ensemble. Expert Syst. Appl. 40(11): 4438-4445 (2013) - [c6]Vito Claudio Ostuni, Giosia Gentile, Tommaso Di Noia, Roberto Mirizzi, Davide Romito, Eugenio Di Sciascio:
Mobile Movie Recommendations with Linked Data. CD-ARES 2013: 400-415 - [c5]Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Roberto Mirizzi:
Top-N recommendations from implicit feedback leveraging linked open data. RecSys 2013: 85-92 - 2012
- [c4]Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito, Markus Zanker:
Linked open data to support content-based recommender systems. I-SEMANTICS 2012: 1-8 - [c3]Roberto Mirizzi, Tommaso Di Noia, Azzurra Ragone, Vito Claudio Ostuni, Eugenio Di Sciascio:
Movie Recommendation with DBpedia. IIR 2012: 101-112 - [c2]Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito:
Exploiting the web of data in model-based recommender systems. RecSys 2012: 253-256 - [c1]Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Davide Romito, Eugenio Di Sciascio:
Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia. SeRSy 2012: 37-48
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