IRQX: A Framework for Information Retrieval Algorithms Using Query Expansion Techniques

Abstract

The number of information retrieval users and their operations are continuously increasing with the rapid growth of internet technologies. Information Retrieval is one of the most prevalent operations that is frequently used by the Internet users. The process of Information Retrieval may cause two problems. First, the search engine may retrieve irrelevant documents and second it may fail to retrieve the relevant documents. Many approaches have been proposed to improve the query representation by reformulating the queries. Among them, Query Expansion (QE) is one of the most effective approaches. In Information Retrieval, Query Expansion is referred to as the techniques or algorithms that reformulate the original query by adding or modifying new terms into the query, in order to achieve better retrieval results. This paper contributed to the process of information retrieval algorithms using query expansion techniques to improve the precision and recall. The proposed framework Information Retrieval algorithms using Query Expansion (IRQX) facilitates the users to select their choice of algorithms based on their need.