2.50
Hdl Handle:
http://hdl.handle.net/2436/4008
Title:
New versions of PageRank employing alternative Web document models
Authors:
Thelwall, Mike; Vaughan, Liwen
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.
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
Type:
Article
Language:
en
ISSN:
0001253X
Appears in Collections:
Statistical Cybermetrics Research Group ; Statistical Cybermetrics Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorThelwall, Mike-
dc.contributor.authorVaughan, Liwen-
dc.date.accessioned2006-08-23T14:38:24Z-
dc.date.available2006-08-23T14:38:24Z-
dc.date.issued2004-
dc.identifier.citationAslib Proceedings 2004, 56: 1en
dc.identifier.issn0001253X-
dc.identifier.doi10.1108/00012530410516840-
dc.identifier.urihttp://hdl.handle.net/2436/4008-
dc.description.abstractIntroduces 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.en
dc.format.extent155829 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherEmerald Group Publishing Limiteden
dc.relation.urlhttp://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Review&contentId=1317174en
dc.subjectAlgorithmic languagesen
dc.subjectHypertext transfer protocolen
dc.subjectInformation retrievalen
dc.subjectPage description languagesen
dc.subjectSearch enginesen
dc.subjectWorld Wide Weben
dc.titleNew versions of PageRank employing alternative Web document modelsen
dc.typeArticleen
dc.format.digYES-
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