期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2014
卷号：3
期号：6
出版社：IJECSCSE
摘要：End-user interaction with the system recovery inf ormation required to run a successful query to the system is not always feasible and if the user is not technical then forming successful query will be difficult. So in t his work we are suggesting is that the search f or users must be satisfied in minimum time and also this should consume less time and the system must be easy to use and accurate. The main f ocus of our proposed system is that if any user enters a wrong or incorrect query, also will try to fix it first and have the "n" possible that incorrect query results. Ref ormulation of queries in search is aimed at addressing the problem of maturity mismatch. For example, if the query is "TOI" and the document only contains "New York Times", the query and the document does not fit well and the document does not classified high. Query Reformulation tries to transform "TOI" the "Times of India" and therefore make a better match between the query and the document. In the task, given a query that is needed to generate all similar queries from the original query. So here we are achieving system usability and nature became our easy to use, since the end user does not insist to give correct query only. The proposed technique is applied to the correction of spelling errors in queries, query reformulation and search the web. Experimental results on a large data sizes show that the proposed approach is very accurate and effective in improving the existing methods in terms of accuracy and reliability in different contexts
关键词：String Transformation; Log Linear Model; ; Spelling Check; Query Reformulation
