Statistical Search engine optimization

Abstract

This report provides a view point of the development of optimization methods for the Retrieval of relevant information from a documentary database. As Genetic Algorithms (GA) are robust and efficient search and optimization techniques, they can be used to search the huge document search space. In this search, a general frame work of information retrieval system and a development of optimization methods are to be discussed. With the rapid growth of the amount of data available in electronic libraries, through Internet and enterprise network mediums, advanced methods of search and information retrieval are in demand. Information retrieval systems, designed for storing, maintaining and searching large-scale sets of unstructured documents. One step in optimizing the information retrieval experience is the deployment of Genetic Algorithms, a widely used subclass of Evolutionary Algorithms that have proved to be a successful optimization tool in many areas. The Evolutionary computation, Evolutionary Search Process, Genetic Operators, Genetic Programming, Evolutionary Techniques and Fuzzy Logic Principles in IRS, Fuzzy principles in Information are all discussed. Establishment of statistical regularities in the study of search information in documentary database and a great focus on the Search engine optimization (SEO) is the core of this study , meanwhile the genetic indexed along with the indexing methods creation in the process of information search on the base of data obtained as a result of statistical analysis performed queries to documentary database will be fully illustrated.