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.
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Rodríguez, J., Romero, M., Bravo, M. (2013). Dynamic Context for Document Search and Recovery. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39637-3_36
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DOI: https://doi.org/10.1007/978-3-642-39637-3_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39636-6
Online ISBN: 978-3-642-39637-3
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