文章基本信息

标题：Comparative Study of Page Rank and Weighted Page Rank Algorithm
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作者：Taruna Kumari ; Ashlesha Gupta ; Ashutosh Dixit 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：2
出版社：S&S Publications
摘要：World Wide Web is a distributed heterogeneous information resource which includes data and hyperlinks. With the exponential growth of WWW, it has become difficult to access desired information that matches with user needs and interest . Therefore majority of users today use Search Engine to assist in information retrieval over the Internet. T he results retrieved , organized & presented by search engine results in hundreds and millions of linked pages of which many might not be useful to the user. Web page ranking algorithms play an important role in ranking web pages so that the user could retrieve the page which is most relevant to the user's query. Some page ranking algorithms are H ITS, PageRank and weighted Page rank. In this paper, we compare two popular web page ranking a lgorithms namely: Weighted Page Rank algorithm and PageRank algorithm. The paper highlights their variations, strengths, weaknesses and carefully analyzes both algorithms using simulations developed for them
关键词：earch Engine; Link based search ; PageRank and Weighted PageRank