Linked data-based conceptual modelling for recommendation : a FCA-based approach

Castellanos, A., García-Serrano, A. y Cigarrán, J.(2014) .Linked data-based conceptual modelling for recommendation : a FCA-based approach. .En: . ()

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Titulo Linked data-based conceptual modelling for recommendation : a FCA-based approach
Autor(es) Castellanos, A.
García-Serrano, A.
Cigarrán, J.
Resumen In a recommendation task it is crucial to have an accurate content-based description of the users and the items consumed by them. Linked Open Data (LOD) has been demonstrated as one of the best ways of obtaining this kind of content, given its huge amount of structured information. The main question is to know how useful the LOD information is in inferring user preferences and how to obtain it. In this context, we propose a novel approach for Content Modelling and Recommendation based on Formal Concept Analysis (FCA). The approach is based in the modelling of the user and content related information, enriched with Linked Open Data, and in a new algorithm, to analyze the models and recommend new content. The framework provided by the ESWC 2014 Recommendation Challenge is used for the evaluation of the proposal. The results are within the average range of other participants, so the suitability of FCA for this scenario seems to be addressed. Nevertheless, further work has to be carried out in order to propose a refined approach for the management of LOD information.
Palabra clave linked open data
recommender systems
content modelling
formal concept analysis
Fecha 2014-09-01
Formato application/pdf
Idioma eng
Fuente E-Commerce and Web Technologies Lecture Notes in Business Information Processing Volume 188, 2014, pp 71-76
Versión de la publicación submittedVersion
Relacionado con el proyecto: info:eu-repo/grantAgreement/S2009/TIC-1542
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Creado: Wed, 26 Nov 2014, 14:19:27 CET