Abstract
In this paper; we propose a solution to one of the most known problems in information retrieval field which is the ambiguity of short queries. In fact, short queries are often ambiguous and their execution by search tools engenders a lot of noise. The proposed contribution consists of a query expansion approach that exploits the recent browsing history of the user and the time parameter to expand short queries based on the feedback returned by the users having search behaviours similar to that of the current user.
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Boughareb, D., Farah, N. (2013). A Query Expansion Approach Using the Context of the Search. In: van Berlo, A., Hallenborg, K., RodrÃguez, J., Tapia, D., Novais, P. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 219. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00566-9_8
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DOI: https://doi.org/10.1007/978-3-319-00566-9_8
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