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Detecting user's interests based on the accuracy of collaborative tagging information

Mezghani, Manel and Péninou, André and Zayani, Corinne Amel and Amous, Ikram and Sèdes, Florence Detecting user's interests based on the accuracy of collaborative tagging information. (2013) In: 13th International Conference on Computer-Supported Cooperative Work (ECSCW 2013), 21 September 2013 - 25 September 2013 (Paphos, Cyprus).

(Document in English)

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Official URL: http://wscg.zcu.cz/DL/wscg_DL.htm


A user profile has to reflect the XVHU¶V needs according to his characteristics (personal data, interests and preferences), his context, and his situation. ln this article, we focus on the problem of adaptation quality in social networks, which is affected by the accuracy and relevance of the user's interests. The originality of our approach is the proposal of a new technique of interest' detection by analyzing the accuracy of the tagging behaviour of the user in order to figure out the tags which actually reflect the UHVRXUFHV¶ FRQWHQW. Our approach has been tested and evaluated on the Delicious social database.

Item Type:Conference or Workshop Item (Paper)
Additional Information:ISSN 0105-8517 ; Thanks to ECSCW editor. The definitive version is available at : http://wscg.zcu.cz/DL/wscg_DL.htm
HAL Id:hal-01225774
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:13 Oct 2015 08:24

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