Indexing Multilingual Health Related Documents Improved Query Suggestions

Abstract

Searching for Health-related Document on the internet are very common these days but find the relevant information is quite tough. The problem arises when user type query which sometimes lack proper terms and misspelling lead to innocent information. ~fonnation retrieval system give information based on queries if they contain proper tenns which will lead to more relevant informa6on on the internet. Query suggestion perform very crucial role for overcoming problems of query formulation and less chance of spelling mistakes. A user who click on the suggestion as compared to user who do not click on the suggestion would like to get more relevant information. We develop a system which give user suggestion while formulating the queries for health-related documents on the Jist box in order to provide medical accuracy