AN ONTOLOGY-BASED RECOMMENDER SYSTEM USING HIERARCHICAL MULTICLASSIFICATION FOR ECONOMICAL E-NEWS

David Werner 1 Nuno Silva Christophe Cruz 2 Aurélie Bertaux 1
2 Checksem
Le2i - Laboratoire Electronique, Informatique et Image [UMR6303]
Abstract : This paper focuses on a recommender system of economic news articles. Its objectives are threefold: (i) automatically multi-classify new economic articles, (ii) recommend articles by comparing profiles of users and multi-classification of articles, and (iii) managing the vocabulary of the economic news domain to improve the system based on seamlessly intervention of documentalists. In this paper we focus on the automatic multi-classification of the articles, managed by inference process of ontologies, and the enrichment of the documentalist-oriented ontology which provides the necessary capabilities to the DL reasoner for automatic multi-classification.
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https://hal.archives-ouvertes.fr/hal-01086189
Contributor : David Werner <>
Submitted on : Sunday, November 23, 2014 - 1:45:35 AM
Last modification on : Wednesday, September 12, 2018 - 1:27:43 AM

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David Werner, Nuno Silva, Christophe Cruz, Aurélie Bertaux. AN ONTOLOGY-BASED RECOMMENDER SYSTEM USING HIERARCHICAL MULTICLASSIFICATION FOR ECONOMICAL E-NEWS. IE, The 14th International Conference on Informatics in Economy,, May 2014, Bucharest, Romania. ⟨hal-01086189⟩

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