A rough set based self-adaptive Web search engine

Abstract

Web search engines are very useful information service tools in the Internet. The current Web search engines produce search results relating to the search terms and the actual information collected by them. Since the selections of the search results cannot affect the future ones, they may not cover most people's interests. In the paper, feedback information produced by the users' accessing lists is represented by a rough set and can influence the search results. Thus the search engines can provide self-adaptability.