期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：3
页码：778-782
语种：English
出版社：Ayushmaan Technologies
摘要：The hyper-linking nature of the Web has differentiated itself from traditional forms of information resources. Hyperlinks are created between Web pages by Web page authors mainly to assist users in navigating the vast amount of information on the Web. Hyperlinks can reveal conceptual relationships between linked Web pages. Mining these relationships in the link structure of a Web site can help users navigate and search for desired information on the Web site effectively and efficiently. First, the link structure of a Web site is visualized for user navigation. Second, Web pages are clustered to reduce information overload problem in user navigation. Third, hyperlinks are used to get authority-based rankings of Web pages for user information search on the Web. This work describes a set of heuristics to optimize the web site usability and link structure. In particular, we show how these heuristics can be used to (1) simplify the user navigational needs through automatically reducing the transient links and hence providing shortcuts to pages in demand, and (2) automatically provide users with redirects to popular pages in the web site. These heuristics are hoped to compliment previously reported graph-based techniques for web site link optimization.
