The main aim of this thesis is to provide mechanisms which can use and empower the socially generated classifications in order to model the user interests and to adaptively filter the availabke resources. In this work we propose new recommender systems for filtering resources in social tagging systems for supporting the manual classification of the digital resources
A social semantic recommender system / Felice Ferrara - Udine : Università degli Studi di Udine. , 2012 Mar 15. ((24. ciclo
Titolo: | A social semantic recommender system |
Autori: | |
Data di pubblicazione: | 15-mar-2012 |
Citazione: | A social semantic recommender system / Felice Ferrara - Udine : Università degli Studi di Udine. , 2012 Mar 15. ((24. ciclo |
Abstract: | The main aim of this thesis is to provide mechanisms which can use and empower the socially generated classifications in order to model the user interests and to adaptively filter the availabke resources. In this work we propose new recommender systems for filtering resources in social tagging systems for supporting the manual classification of the digital resources |
Handle: | http://hdl.handle.net/11390/1132272 |
Appare nelle tipologie: | 8.2 Tesi di Dottorato (OpenUniud) |
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File | Descrizione | Tipologia | Licenza | |
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10990_123_PhD Thesis - Ferrara Felice.pdf | Tesi di dottorato | Non specificato | Open Access Visualizza/Apri |
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