Analysis of the tagging behaviour of the social network of a user for the detection of the interests

被引：0
作者：
Mezghani, Manel [1 ,2 ]
Péninou, André [2 ]
Zayani, Corinne Amel [1 ]
Amous, Ikram [1 ]
Sèdes, Florence [2 ]
机构：
[1] Laboratoire MIRACL, Université de Sfax, Sfax
[2] Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse, CNRS, INPT, UPS, UT1, UT2J, Toulouse Cedex 9
来源：
Ingenierie des Systemes d'Information | 2015年 / 20卷 / 04期
关键词：
Indexation; Interests; Social network; Tagging behaviour; User profile;
D O I：
10.3166/ISI.20.4.85-111
中图分类号：
学科分类号：
摘要：
The social user is characterized by his social activity such as sharing information and making relationships. With the evolution of social content, the user needs more accurate information that reflects his interests. We focus on detecting user’s interests which are key elements for improving adaptation (recommendation, personalization, etc.). The originality of our approach is based on the proposal of a new technique of interests detection by analysing the accuracy of the tagging behaviour of the social network of a user in order to figure out the tags which really reflect the content of the resources. The proposed approach has been tested and evaluated in the Delicious social database. For the evaluation, we compare the result issued from our approach using the tagging behaviour of the neighbours (the egocentric network or the communities) with the information yet known for the user (his profile). A comparative evaluation with the classical tag-based method of interests detection shows that the proposed approach is better. © 2015 Lavoisier.
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页码：85 / 112
页数：27
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