An Overview of Genetic Algorithm Based Information Retrieval

Abstract

As the information grows rapidly, searching relevant and up to date information has become a crucial issue. The amount of information and the pages that are similar to each other are also increasing. Information retrieval is a process or method whereby a prospective user of information is able to transform his need for information into an actual list of documents in storage containing information useful to him. An Information Retrieval System (IRS) Can be defined as a system which interprets the contents of the information items and generate a ranking which reflect relevance and retrieves the information more efficiently. This paper intends the study of genetic algorithm based information retrieval using similarity measures like cosine coefficient, jaccard coefficient, dice coefficient. The genetic algorithm aims to optimize the overall relevance estimate by applying a customized fitness function which will make use of local as well as global factors to have the evaluation function distributed over the search space.