Web Page Clustering Based on Searching Keywords

In order to improve searching results of Web pages and enhancing Web crawling operation, the Web page clustering based on searching keywords is proposed in this paper, which firstly employed matching degree between Web pages and searching keywords to decide the sequence of showing pages of searching results. Then clustering algorithm was chosen to group pages of searching results according to matching degree. Next we used duplicated pages deletion to detect and remove duplicated pages with same titles and abstracts. Finally, the proposed algorithm is applied in practice and results show that it is effective and feasible for solving information explosion on Web.