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.
web mining web clustering searching degree matching degree
Taoying Li Yan Chen
Transportation Management College, Dalian Maritime University, Dalian, Liaoning 116026, China
国际会议
长沙
英文
3525-3528
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）