An Extended Algorithm of Page Ranking Considering Chronological Dimension of Search

The current generation of WWW search engines reportedly makes extensive use of evidence derived from the structure of the WWW to better match relevant documents and identify potentially authoritative pages. However, despite this reported use, there has been little analysis which supports the inclusion of web evidence in document ranking, or which examines precisely what its effect on search results might be. The success of document ranking in the current generation of WWW search engines is attributed to a number of web analysis techniques. Two page ranking algorithms, HITS and PageRank, are commonly used in web structure mining. Both algorithms treat all links equally when distributing rank scores. Several algorithms have been developed to improve the performance of these methods. We introduce the Credence PageRank Algorithm (CPR) to improve the performance of web page ranking. As CPR is motivated by the observation that a hyperlink from a Web page to another is an implicit conveyance of authority to the target page, one can use these algorithms to find important Web pages. However, an important factor that is not considered by these techniques is the timeliness of search results. The Web is a dynamic environment. Quality pages in the past may not be quality pages now or in the future. Thus we also study search considering Chronological dimension. Keywords—Web Mining, Web Usage Mining, Page Rank, Web Map