Semantic contextualisation of social tag-based profiles and item recommendations
Entidad
UAM. Departamento de Ingeniería InformáticaEditor
Springer Berlin HeidelbergFecha de edición
2011Cita
10.1007/978-3-642-23014-1_9
E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011, Toulouse, France, August 30 - September 1, 2011. Proceedings. Lecture Notes in Business Information Processing, Volumen 85. Springer, 2002. 101-113.
ISSN
1865-1348ISBN
978-3-642-23013-4 (print); 978-3-642-23014-1 (online)DOI
10.1007/978-3-642-23014-1_9Financiado por
This work was supported by the Spanish Ministry of Science and Innovation (TIN2008-06566-C04-02), and the Community of Madrid (CCG10- UAM/TIC-5877)Versión del editor
http://dx.doi.org/10.1007/978-3-642-23014-1_9Materias
Ambiguity; Clustering; Folksonomy; Recommender systems; Semantic contextualisation; Social tagging; User modelling; InformáticaNota
Proceedigns of 12th International Conference, EC-Web 2011, Toulouse, France, August 30 - September 1, 2011.The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-23014-1_9
Derechos
© Springer-Verlag Berlin Heidelberg 2011Resumen
We present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles. We apply our approach to a dataset obtained from Delicious social bookmarking system, and evaluate it through two experiments: a user study consisting of manual judgements of tag disambiguation and contextualisation cases, and an offline study measuring the performance of several tag-powered item recommendation algorithms by using contextualised profiles. The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall on their predictions.
Lista de ficheros
Google Scholar:Cantador Gutiérrez, Iván
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Bellogin Kouki, Alejandro
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Fernández-Tobías, Ignacio
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López-Hernández, Sergio
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