Abstract
Query Expansion has been widely used to improve the effectiveness of conceptual search. In this paper pseudo relevance feedback is used along with equi-width and equi-frequency partition technique. The proposed method effectively uses the position and frequency of the query terms for identifying a region within the retrieved documents, which is expected to contain expansion terms. This region is an intersecting region obtained by partitioning the retrieved documents using equi-width and equi-frequency partition techniques. Initial results indicate that words falling in the intersecting region contain good candidate terms for query expansion. The experiments are performed on FIRE 2011’s Ad-hoc Hindi and English Data using Terrier as the retrieval engine. The initial experiments show an improvement in average precision of 12-14% in case of English data and 12.75% in case of Hindi data set.
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Vaidyanathan, R., Das, S., Srivastava, N. (2013). Query Expansion Based on Equi-Width and Equi-Frequency Partition. In: Majumder, P., Mitra, M., Bhattacharyya, P., Subramaniam, L.V., Contractor, D., Rosso, P. (eds) Multilingual Information Access in South Asian Languages. Lecture Notes in Computer Science, vol 7536. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40087-2_2
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DOI: https://doi.org/10.1007/978-3-642-40087-2_2
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