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Reseach Article

Hybrid Approach for Query Expansion using Query Log

by Lynette Lopes, Jayant Gadge
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 6
Year of Publication: 2014
Authors: Lynette Lopes, Jayant Gadge

Lynette Lopes, Jayant Gadge . Hybrid Approach for Query Expansion using Query Log. International Journal of Applied Information Systems. 7, 6 ( July 2014), 30-35. DOI=10.5120/ijais14-451204

@article{ 10.5120/ijais14-451204,
author = { Lynette Lopes, Jayant Gadge },
title = { Hybrid Approach for Query Expansion using Query Log },
journal = { International Journal of Applied Information Systems },
issue_date = { July 2014 },
volume = { 7 },
number = { 6 },
month = { July },
year = { 2014 },
issn = { 2249-0868 },
pages = { 30-35 },
numpages = {9},
url = { },
doi = { 10.5120/ijais14-451204 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-07-05T18:55:13.927489+05:30
%A Lynette Lopes
%A Jayant Gadge
%T Hybrid Approach for Query Expansion using Query Log
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 7
%N 6
%P 30-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Web search users usually submit short and ambiguous queries to specify their requirement. In order to improve performance of short and ambiguous queries, query expansion is used. Query expansion is as an effective way to improve the performance of information retrieval systems by adding relevant terms to the original query. After using search engine lots of data get accumulated, from which queries that have been used to retrieve documents are used. This data is stored as query log. These query logs provide valuable information to extract relationships between queries and documents that can be used in query expansion. This paper proposes method first to determine ambiguous queries using Kullback leibler distance model. It measures difference between two probability distributions. Second, relevant or most suitable expansion terms are selected from the documents with the analysis of relation between queries and documents. The relation can be evaluated by calculating frequency co-efficient with respect to document and document collection.

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Index Terms

Computer Science
Information Sciences


Search engine information retrieval query log ambiguity expansion terms co-occurrence and suitability.