Study on related information searching for web pages with dynamic scripts

The current search engines can not rank well when searching for web pages with dynamic scripts, because there is not enough hyperlink information. Traditional public search engines are implemented by the hyperlink analysis algorithms. It is hard to realize the efficient searching for these related pages. This paper proposes a modified ranking approach based on traditional search engines. When loading a new page, a state is considered as a basic unit of ranking. Then, the paper presents a ranking algorithm based on state-interrelated similarity of these pages. Finally, the paper describes implementing process of the algorithm, and demonstrates the efficiency of the algorithm by experimental results.