Article ID Journal Published Year Pages File Type
489673 Procedia Computer Science 2015 7 Pages PDF
Abstract

The available websites on the internet include various topics that some of the websites are working in the field of internet advertising that are usually been created for Internet Marketing. Today, some of these websites for visitors and attract more Internet users are attempted to use false techniques (e.g., by using keywords, etc.). For example, a user by visiting the Google Website searches a sentence. But the question that arises is whether the results of the search are totally associated with the subject user? Perhaps the best answer to this question is No. Because there may be some links presented to the user, unrelated to the topic and these websites just to display their content, insert several keywords related to the searched topic so that the search engines will make mistakes. By considering the above mentioned information, useful searching and accurate results without doubt are the most important demands of Internet users of a search engine. In this article by using genetic algorithm and by considering three parameters of URL Feature, Black list and the number of keywords we will check and analyze these websites. In this study we were able to identify 84% annoying advertisement websites by three parameters.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)