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Étude des facteurs de pertinence dans la recherche de microblogs.

Firas Damak 1
1 IRIT-SIG - Systèmes d’Informations Généralisées
IRIT - Institut de recherche en informatique de Toulouse
Abstract : This work deals with the context of social information retrieval (IR), more particularly the retrieval of microblogs. The IR models must adapt to the specificities of microblogs. Our contributions are at several levels: - We conducted an analysis of failure of a conventional model search. We selected relevant microblogs. However, they are not found by the search pattern. Then, we identified the factors preventing their return. We found that the main problem is the shortness of microblogs. - To offset the impact of the shortness of microblogs, we proposed and tested several solutions: to extend the queries by (i) exploiting news articles, (ii) applying techniques of relevance feedback of the state of art which often proved effective. We finally extended microblogs thanks to the links (URLs) they contain. Our experiments have shown that the use of URLs and the expansion of the query are crucial for IR in microblogs.- A second part of our work is concerned with the study of the features used to identify relevant microblogs. In general, we have shown that the features related to URLs posted in tweets are the most discriminating. The features related to the authors do not reflect the relevance. - To take into account the temporal aspect when selecting relevant microblogs, we have proposed three methods that incorporate time in the calculation of relevance. However, this integration of time did not show any positive impact in our methods.   
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Submitted on : Wednesday, October 15, 2014 - 12:07:06 PM
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  • HAL Id : tel-01074732, version 1

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Firas Damak. Étude des facteurs de pertinence dans la recherche de microblogs.. Recherche d'information [cs.IR]. Université Paul Sabatier, 2014. Français. ⟨tel-01074732⟩

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