6533b856fe1ef96bd12b36f2
RESEARCH PRODUCT
AN ONTOLOGY-BASED APPROACH TO PROVIDE PERSONNALIZED RECOMMENDATIONS USING A STOCHASTIC ALGORITHM
Romain Picot-clemente Christophe Cruz Christophe Nicollesubject
[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]semantic web[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Recommender systemsstochastic processesuser modellingstochastic processes.adaptive hypermedia systemsinformation filteringdescription
International audience; 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-05-06 |