An Efficient Information Retrieval System Using Query Expansion and Document Ranking

Information retrieval is the process of searching and retrieval of information from documents that matches user query. The user information requirement is represented by a query or profile that contains one or more search terms. Indexing plays important role to retrieve the information. Researchers have been used indexing techniques only for document indexing and not focused on the speed up the search and retrieval time. In this paper, an enhanced inverted indexing technique is proposed to index all root terms of the documents. This approach maintains the weight of each term connected to the document in index structure. Multiple query terms are easy to handle using inverted index. After indexing, the searching and retrieval process is made by matching the query with the indexed terms. In order to solve the problem of false and null information retrieval, the proposed system includes query expansion and document ranking which improves retrieval accuracy.