Advances in IR Query Expansion



As the internet is becoming rich with huge information, retrieving the wanted information is a huge challenge. Due to huge variation in framing a query by the individuals, matching of the terms with the document to be searched are facing many challenges. Researchers have worked on problem of identifying the correct essence of the user query by adding additional useful terms. They are currently working on this kind of Query Expansion (QE). There are many proposals like Manually, Iterative and Automatic QE. In this work we compare these different techniques and analyze for their strength and weaknesses.

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