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Query-independent evidence in home page finding

dc.contributor.authorUpstill, Trystan
dc.contributor.authorCraswell, Nick
dc.contributor.authorHawking, David
dc.date.accessioned2015-12-13T22:41:01Z
dc.date.available2015-12-13T22:41:01Z
dc.date.issued2003
dc.date.updated2015-12-11T09:58:47Z
dc.description.abstractHyperlink recommendation evidence, that is, evidence based on the structure of a web's link graph, is widely exploited by commercial Web search systems. However there is little published work to support its popularity. Another form of query-independent evidence, URL-type, has been shown to be beneficial on a home page finding task. We compared the usefulness of these types of evidence on the home page finding task, combined with both content and anchor text baselines. Our experiments made use of five query sets spanning three corpora - one enterprise crawl, and the WT10g and VLC2 Web test collections. We found that, in optimal conditions, all of the query-independent methods studied (in-degree, URL-type, and two variants of PageRank) offered a better than random improvement on a content-only baseline. However, only URL-type offered a better than random improvement on an anchor text baseline. In realistic settings, for either baseline, only URL-type offered consistent gains. In combination with URL-type the anchor text baseline was more useful for finding popular home pages, but URL-type with content was more useful for finding randomly selected home pages. We conclude that a general home page finding system should combine evidence from document content, anchor text, and URL-type classification.
dc.identifier.issn1046-8188
dc.identifier.urihttp://hdl.handle.net/1885/78314
dc.publisherAssociation for Computing Machinery Inc (ACM)
dc.sourceACM Transactions of Information Systems
dc.subjectKeywords: Citation and link analysis; Connectivity; Document contents; Web information retrieval; Data storage equipment; Graph theory; Information retrieval; Query languages; Search engines; Websites; Online searching Citation and link analysis; Connectivity; Web information retrieval
dc.titleQuery-independent evidence in home page finding
dc.typeJournal article
local.bibliographicCitation.lastpage313
local.bibliographicCitation.startpage286
local.contributor.affiliationUpstill, Trystan, College of Engineering and Computer Science, ANU
local.contributor.affiliationCraswell, Nick, Microsoft Research
local.contributor.affiliationHawking, David, National ICT Australia
local.contributor.authoruidUpstill, Trystan, u9916368
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080708 - Records and Information Management (excl. Business Records and Information Management)
local.identifier.ariespublicationMigratedxPub6980
local.identifier.citationvolume21
local.identifier.doi10.1145/858476.858479
local.identifier.scopusID2-s2.0-2442488148
local.type.statusPublished Version

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