6533b86dfe1ef96bd12c91e5
RESEARCH PRODUCT
Information indexing and recommendation : toward a precise description if items by an ontological approach based on business domain modeling : application to recommander system of economic news
David Wernersubject
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]OntologySémantiqueOntologieEconomyNewsÉconomieReasonerActualitésKnowledge base[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Base de connaissancesSystèmes de recommandationRaisonneurRecommender systems[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semanticdescription
Effective management of large amounts of information has become a challenge increasinglyimportant for information systems. Everyday, new information sources emerge on the web. Someonecan easily find what he wants if (s)he seeks an article, a video or a specific artist. However,it becomes quite difficult, even impossible, to have an exploratory approach to discover newcontent. Recommender systems are software tools that aim to assist humans to deal withinformation overload. The work presented in this Phd thesis proposes an architecture for efficientrecommendation of news. In this document, we propose an architecture for efficient recommendationof news articles. Our ontological approach relies on a model for precise characterization of itemsbased on a controlled vocabulary. The ontology contains a formal vocabulary modeling a view on thedomain knowledge. Carried out in collaboration with the company Actualis SARL, this work has ledto the marketing of a new highly competitive product, FristECO Pro’fil.
year | journal | country | edition | language |
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2015-07-08 |