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Document Priors Based On Time-Sensitive Social Signals

Badache, Ismail and Boughanem, Mohand Document Priors Based On Time-Sensitive Social Signals. (2015) In: European Conference on Information Retrieval (ECIR), 29 March 2015 - 2 April 2015 (Vienna, Austria).

(Document in English)

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Official URL: http://link.springer.com/chapter/10.1007/978-3-319-16354-3_68


Relevance estimation of a Web resource (document) can benefit from using social signals. In this paper, we propose a language model document prior exploiting temporal characteristics of social signals. We assume that a priori significance of a document depends on the date of users actions (social signals) and on the publication date (first occurrence) of the document. Particularly, rather than estimating the priors by simply counting signals related to the document, we bias this counting by taking into account the dates of the resource and the action. We evaluate our approach on IMDb dataset containing 167438 resources and their social data collected from several social networks. The experiments show the interest of temporally-aware signals at capturing relevant resources.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. The definitive version is available at http://link.springer.com/ The original PDF of the article can be found at : http://link.springer.com/chapter/10.1007/978-3-319-16354-3_68
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:15 Feb 2016 14:16

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