Enhanced Search Scheme Precision and Performance using a GA Approach with Application to Arabic Content

Literature examination shows that information search engines in Arabic are few compared to those available in English and other languages. Additionally, search engines face many problems when programmed in the Arabic language, including difficulty and uncertainty. Employing Genetic Algorithm within the search scheme to improve performance and exactness and tackle issues with non-accurateness of search systems in which Arabic content is used can be considered an advancement. An enhanced search scheme that provides exactness, precision, and performance by applying the Genetic Algorithm Technique to Arabic content is presented in this paper. Based on the user starting page selection, the system employs its dynamic characteristics to search related pages on the Web. A series of experiments has been conducted to test the quality and effectiveness of the proposed system by means of well-known test-base collections – namely, CISI, CACM, and NPL – and 242 Arabic-content sites. General results revealed that the proposed system retrieved the largest number of appropriate documents and minimal non-related documents with respect to user requests in high-performance information retrieval systems that use the Genetic Algorithm.