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Conference Papers Year : 2013

An approach for social interest detection

Abstract

In this article, we propose a new technique of interests detection by analyzing the accuracy of the tagging behaviour of each user in order to figure out the tags which reflect actually content of the resources. Our approach has been tested and evaluated in the Delicious social database.
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Dates and versions

hal-03668934 , version 1 (16-05-2022)

Identifiers

  • HAL Id : hal-03668934 , version 1
  • OATAO : 13156

Cite

Manel Mezghani, Ikram Amous, Florence Sèdes. An approach for social interest detection. 29èmes Journées Bases de Données Avancées (BDA 2013) Session Jeunes Chercheurs, Oct 2013, Nantes, France. ⟨hal-03668934⟩
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