Dynamic context for document search and recovery

Authors:
José Rodríguez;Manuel Romero;Maricela Bravo
Affiliations:
Computing Department, CINVESTAV-IPN, Distrito Federal, México, México;Computing Department, CINVESTAV-IPN, Distrito Federal, México, México;Systems Department, UAM-Azcapotzalco, Distrito Federal, México, México
Venue:
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
Year:
2013

Citing 7
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Abstract

From an Information Retrieval perspective there are many works which have been proposed to deal with the problem of retrieving and searching relevant documents. One of the main drawbacks of traditional approaches is related with their static context similarity evaluation, this issue has been addressed by manually refining the query . In this paper we describe a context-based method to dynamically improve the query during document search. A set of experiments were conducted to evaluate the precision and recall of the proposed method, evaluation of results show the benefits of this novel method.