Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43860
Title: Recommendation system in an audio visual delivery platform
Authors: Quinteiro González, José María 
Martel-Jordán, Ernestina 
Hernández-Morera, Pablo 
López-Rodríguez, Aaron 
Martel-Monagas, Leidia
Pino, Angelo Santana Del 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Recommendation Systems
Ontology
Customization
Issue Date: 2010
Conference: International Conference on Knowledge Discovery and Information Retrieval, KDIR 2010 
Abstract: One of the main tasks of the information services is to help users to find information that satisfies their preferences reducing their search effort. Recommendation systems filter information and only show the most preferred items. Ontologies are fundamental elements of the Semantic Web and have been exploited to build more accurate and personalized recommendations by inferencing missing user preferences. With catalogs changing continuously ontologies must be built autonomously without expert intervention. In this paper we present an audiovisual recommendation engine which uses an enhanced ontology filtering technique to recommend audiovisual content. Experimental results show that the improvements of the ontology filtering technique generate accurate recommendations.
URI: http://hdl.handle.net/10553/43860
ISBN: 978-989-8425-28-7
ISSN: 2184-3228
Source: KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, p. 379-382
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

1
checked on Feb 28, 2021

Page view(s)

17
checked on Mar 1, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.