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. , 2012 Mar 15. 24. ciclo
A social semantic recommender system
Ferrara, Felice
2012-03-15
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 resourcesFile in questo prodotto:
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10990_123_PhD Thesis - Ferrara Felice.pdf
Open Access dal 15/09/2013
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Tesi di dottorato
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