AN EFFICIENT APPROACH FOR KEYWORD SELECTION; IMPROVING ACCESSIBILITY OF WEB CONTENTS BY GENERAL SEARCH ENGINES

General search engines often provide low precise results even for detailed queries. So there is a vital needto elicit useful information like keywords for search engines to provide acceptable results for user’s searchqueries. Although many methods have been proposed to show how to extract keywords automatically, allattempt to get a better recall, precision and other criteria which describe how the method has done its jobas an author. This paper presents a new automatic keyword extraction method which improves accessibilityof web content by search engines. The proposed method defines some coefficients determining featuresefficiency and tries to optimize them by using a genetic algorithm. Furthermore, it evaluates candidatekeywords by a function that utilizes the result of search engines. When comparing to the other methods,experiments demonstrate that by using the proposed method, a higher score is achieved from searchengines without losing noticeable recall or precision.