AN ONTOLOGY-BASED APPROACH TO PROVIDE PERSONNALIZED RECOMMENDATIONS USING A STOCHASTIC ALGORITHM - Université de Bourgogne Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

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

Résumé

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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Dates et versions

hal-00612564 , version 1 (29-07-2011)

Identifiants

  • HAL Id : hal-00612564 , version 1

Citer

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. ⟨hal-00612564⟩
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