Description

The AQE makes the user’s original query to augmented query features with a similar meaning. AQE has a long history in the information retrieval community but it is only in the last years that it has reached a level of scientific and experimental maturity, especially in laboratory settings such as TREC. Query expansion methods have been studied for a long time – with debatable success in many instances. Experiments have shown that this kind of query expansion results in notable improvements of the retrieval effectiveness if measured the recall/precision in comparison to the standard vector space model and to the pseudo relevance feedback. The Automatic Query Expansion for Disease prediction helps the any kind of user to find the disease for the symptoms. Here the user who enters the queries may consist of the null values or illegal expression this queries are transformed to a perfect form and then results are fetched. Now the features are generated and extracted at last the result is shown to the user.