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.
Type de document :
Communication dans un congrès
IE, The 14th International Conference on Informatics in Economy,, May 2014, Bucharest, Romania. 2014, Proceedings of the IE 2014 International Conference
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https://hal.archives-ouvertes.fr/hal-01086189
Contributeur : David Werner <>
Soumis le : dimanche 23 novembre 2014 - 01:45:35
Dernière modification le : mercredi 12 septembre 2018 - 01:27:43

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  • HAL Id : hal-01086189, version 1

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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. 2014, Proceedings of the IE 2014 International Conference. 〈hal-01086189〉

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