Title
PageRate: counting Web users' votes
Abstract
We propose a PageRate method to give Web pages on a Web site ratings based on the Web link structure and user usage data, which are both recorded in the Web log files. The method is an improvement over PageRank [1, 6]. PageRate can be used to objectively evaluate the importance of pages. A PageClustering algorithm is proposed to cluster Web pages with similar incoming links and ratings. The results are used to integrate with search results returned by search engines.
Year
DOI
Venue
2001
10.1145/504216.504251
Hypertext 1999
Keywords
DocType
ISBN
web link structure,similar incoming link,web user,pagerate method,cluster web page,search engine,web site rating,web page,pageclustering algorithm,web log file,search result,clustering,web pages
Conference
1-58113-420-7
Citations 
PageRank 
References 
5
0.83
4
Authors
3
Name
Order
Citations
PageRank
Jianhan Zhu147428.87
Jun Hong250.83
John G. Hughes332659.84