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Social Priors to Estimate Relevance of a Resource

Badache, Ismail and Boughanem, Mohand Social Priors to Estimate Relevance of a Resource. (2014) In: Information Interaction in context - IIiX 2014, 26 August 2014 - 29 August 2014 (Regensburg, Germany).

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Official URL: http://dx.doi.org/10.1145/2637002.2637016


In this paper we propose an approach that exploits social data associated with a Web resource to measure its a priori relevance. We show how these interaction traces left by the users on the resources, which are in the form of social signals as the number of like and share, can be exploited to quantify social properties such as popularity and reputation. We propose to model these properties as a priori probability that we integrate into language model. We evaluated the effectiveness of our approach on IMDb dataset containing 167438 resources and their social signals collected from several social networks. Our experimental results are statistically significant and show the interest of integrating social properties in a search model to enhance the information retrieval.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM editor. The definitive version is available at http://dl.acm.org/citation.cfm?id=2637016
Audience (conference):National 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)
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Deposited On:19 Mar 2015 14:09

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