Paper Title
GA Based Search Optimization For Information Retrieval
Abstract
As continues growth in web data the complexity and challenges in exact data extraction is increase, to address
that issue this paper presents a combine approach of Genetic Algorithm and cosine similarity for optimizing the process of
Web Information Retrieval and personalizing the user search by using deduce sensing mechanism so that quality and the
accuracy of information collected is improved.
Keywords— Genetic Algorithm ; Cosine Similarity ; Web Search ; Information Retrieval.