AN ONTOLOGY-BASED APPROACH TO PROVIDE PERSONNALIZED RECOMMENDATIONS USING A STOCHASTIC ALGORITHM

Abstract : The use of personalized recommender systems to assist users in the selection of products is becoming more and more popular and wide-spread. The purpose of a recommender system is to provide the most suitable items from an knowledge base, according the user knowledge, tastes, interests, ... These items are generally proposed as ordered lists. In this article, we propose to combine works from adaptive hypermedia systems, semantic web and combinatory to create a new kind of recommender systems suggesting combinations of items corresponding to the user.
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Communication dans un congrès
WEBIST Special Session on Semantic Web Applications and Tools (SWAT 2011), May 2011, Noordwijkerhout, Netherlands. pp.1-7, 2011
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00612564
Contributeur : Romain Picot-Clemente <>
Soumis le : vendredi 29 juillet 2011 - 11:47:13
Dernière modification le : mercredi 9 novembre 2011 - 15:18:33
Document(s) archivé(s) le : lundi 7 novembre 2011 - 11:34:56

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Romain Picot-Clemente, Christophe Cruz, Christophe Nicolle. AN ONTOLOGY-BASED APPROACH TO PROVIDE PERSONNALIZED RECOMMENDATIONS USING A STOCHASTIC ALGORITHM. WEBIST Special Session on Semantic Web Applications and Tools (SWAT 2011), May 2011, Noordwijkerhout, Netherlands. pp.1-7, 2011. <hal-00612564>

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