Improving Search Engine Query Expansion using Clustering and Indexing based Approach

In old days, people have become conscious about the consequences of archiving and finding information. With the arrival of computers, it became possible to store huge amount of information; and finding the useful information from images collections which is became a necessity. Out of this necessity in the 1950s, the field of Information Retrieval (IR) was born. The field of information retrieval has matured considerably over the last forty years. Query expansion main objective is to extend the user query with related terms to improvise the search results. It is done to improve the relevance of the documents which are retrieved by the IR systems. In this paper, we propose a Cluster and Indexing based approach for query expansion. We also presents that our proposed mechanism produces better recall and precision.