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Query paraphrasing using genetic approach for intelligent information retrieval

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2 Author(s)
Mourad Ykhlef ; Department of Information System, CCIS, King Saud University, Riyadh, Kingdom of Saudi Arabia ; Abeer ALDayel

The major problem we will solve in this paper is how to bring the user closer to his/her search needs and how to enhance the search query prior submitting it to the search engine. To accomplish this, we built a query paraphrasing model using Genetic Algorithm to produce the most accurate set of paraphrased queries that match the user's need by exploring different query paraphrased combinations using WordNet as a thesaurus. The experimental results show that the proposed system can provide more precision than the regular query paraphrasing.

Published in:

Internet Technology And Secured Transactions, 2012 International Conference for

Date of Conference:

10-12 Dec. 2012