File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Recommending anchor points in structure-preserving hypertext document retrieval

TitleRecommending anchor points in structure-preserving hypertext document retrieval
Authors
KeywordsComputers - software
Issue Date1998
PublisherIEEE, Computer Society.
Citation
Proceedings - Ieee Computer Society's International Computer Software And Applications Conference, 1998, p. 582-587 How to Cite?
AbstractTraditional WWW search engines index and recommend individual Web pages to assist users in locating relevant documents. Users are often overwhelmed by the large answer set recommended by the search engines. The logical starting point of the hyper-document is thus hidden among the large basket of matching pages. Users need to spend a lot of effort browsing through the pages to locate the starting point, a very time consuming process. This paper studies the anchor point indexing problem. The anchor points of a given user query is a small set of key pages from which the larger set of documents that are relevant to the query can be easily reached. The use of anchor points help solve the problems of huge answer set and low precision suffered by most search engines by considering the hyper-link structures of the relevant documents, and by providing a summary view of the result set.
Persistent Identifierhttp://hdl.handle.net/10722/45584
ISSN

 

DC FieldValueLanguage
dc.contributor.authorKao, Ben CMen_HK
dc.contributor.authorLee, Joseph KWen_HK
dc.contributor.authorCheung, David WLen_HK
dc.contributor.authorNg, CYen_HK
dc.date.accessioned2007-10-30T06:29:43Z-
dc.date.available2007-10-30T06:29:43Z-
dc.date.issued1998en_HK
dc.identifier.citationProceedings - Ieee Computer Society's International Computer Software And Applications Conference, 1998, p. 582-587en_HK
dc.identifier.issn0730-3157en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45584-
dc.description.abstractTraditional WWW search engines index and recommend individual Web pages to assist users in locating relevant documents. Users are often overwhelmed by the large answer set recommended by the search engines. The logical starting point of the hyper-document is thus hidden among the large basket of matching pages. Users need to spend a lot of effort browsing through the pages to locate the starting point, a very time consuming process. This paper studies the anchor point indexing problem. The anchor points of a given user query is a small set of key pages from which the larger set of documents that are relevant to the query can be easily reached. The use of anchor points help solve the problems of huge answer set and low precision suffered by most search engines by considering the hyper-link structures of the relevant documents, and by providing a summary view of the result set.en_HK
dc.format.extent76323 bytes-
dc.format.extent4319 bytes-
dc.format.extent6619 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society.en_HK
dc.relation.ispartofProceedings - IEEE Computer Society's International Computer Software and Applications Conferenceen_HK
dc.rights©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputers - softwareen_HK
dc.titleRecommending anchor points in structure-preserving hypertext document retrievalen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0730-3157&volume=&spage=582&epage=587&date=1998&atitle=Recommending+Anchor+Points+in+Structure-Preserving+Hypertext+Document+Retrievalen_HK
dc.identifier.emailKao, Ben CM:kao@cs.hku.hken_HK
dc.identifier.emailCheung, David WL:dcheung@cs.hku.hken_HK
dc.identifier.authorityKao, Ben CM=rp00123en_HK
dc.identifier.authorityCheung, David WL=rp00101en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/CMPSAC.1998.716724en_HK
dc.identifier.scopuseid_2-s2.0-0032298686en_HK
dc.identifier.hkuros31075-
dc.identifier.spage582en_HK
dc.identifier.epage587en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridKao, Ben CM=35221592600en_HK
dc.identifier.scopusauthoridLee, Joseph KW=7601456046en_HK
dc.identifier.scopusauthoridCheung, David WL=34567902600en_HK
dc.identifier.scopusauthoridNg, CY=36747473900en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats