Optimizing the Data Search Results in Web Using Genetic Algorithm
One of the most important problems of web data search is recombining words of query, because reformulation of query words plays an effective role in search engine results. Web users try to make queries using their experience. What matter here is to develop a method so that web users can get their desired results without having to repeat the reformulation of their query? In this paper, the authors have presented a method using genetic algorithm in a distributed way according to users' favorites to optimize query sent to search engine and finally to optimize quality of result pages.