Intelligent web mining technique using evolutionary algorithms

Many conventional search engines satisfy the need of information retrieval from WWW, but the results obtained still hold a chance for refinement and accuracy. This problem of getting irrelevant results is specifically observed for complex queries i.e. queries with many key words. We propose an intelligent method for web mining based on Genetic Algorithm (GA). The results produced by conventional search engine i.e. snippets, are further processed and refined further to extract only the most relevant snippets. A significant improvement is observed in the search results by using a modified GA with additional local searching technique of Memetic Algorithm (MA).