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Wolverhampton Intellectual Repository and E-Theses > School of Technology > School of Computing and IT > Statistical Cybermetrics Research Group  > New versions of PageRank employing alternative Web document models

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/4008
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Title: New versions of PageRank employing alternative Web document models
Authors: Thelwall, Mike
Vaughan, Liwen
Citation: Aslib Proceedings 2004, 56: 1
Publisher: Emerald Group Publishing Limited
Issue Date: 2004
URI: http://hdl.handle.net/2436/4008
DOI: 10.1108/00012530410516840
Additional Links: http://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Review&contentId=1317174
Abstract: Introduces several new versions of PageRank (the link based Web page ranking algorithm), based on an information science perspective on the concept of the Web document. Although the Web page is the typical indivisible unit of information in search engine results and most Web information retrieval algorithms, other research has suggested that aggregating pages based on directories and domains gives promising alternatives, particularly when Web links are the object of study. The new algorithms introduced based on these alternatives were used to rank four sets of Web pages. The ranking results were compared with human subjects’ rankings. The results of the tests were somewhat inconclusive: the new approach worked well for the set that includes pages from different Web sites; however, it does not work well in ranking pages that are from the same site. It seems that the new algorithms may be effective for some tasks but not for others, especially when only low numbers of links are involved or the pages to be ranked are from the same site or directory.
Type: Article
Language: en
Keywords: Algorithmic languages
Hypertext transfer protocol
Information retrieval
Page description languages
Search engines
World Wide Web
ISSN: 0001253X
Appears in Collections: Statistical Cybermetrics Research Group
Statistical Cybermetrics Research Group

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