dc.creatorZaina C.M.
dc.creatorBaranauskas M.C.C.
dc.date2005
dc.date2015-06-26T14:10:23Z
dc.date2015-11-26T14:10:24Z
dc.date2015-06-26T14:10:23Z
dc.date2015-11-26T14:10:24Z
dc.date.accessioned2018-03-28T21:11:07Z
dc.date.available2018-03-28T21:11:07Z
dc.identifier1595932240; 9781595932242
dc.identifierAcm International Conference Proceeding Series. , v. 124, n. , p. 120 - 127, 2005.
dc.identifier
dc.identifier10.1145/1111360.1111372
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-49749113743&partnerID=40&md5=82fd26d648b16e9a30622d5c12d6d040
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/94022
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/94022
dc.identifier2-s2.0-49749113743
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241515
dc.descriptionThe amount of information available in the Internet is so vast that finding the desired information in such an unstructured repository easily becomes a tedious task. Graphical cluster-based representations of results from search engines shift the user's mental load from slower thought-intensive processes of reading information got from linear lists of results to faster perceptual processes such as pattern recognition in a visual display. In this paper we investigate the subject by presenting the design proposal of a new system that uses concepts of Information Visualization to help the user of Internet search engines to identify the group of documents that are related to the needed information by examining or browsing documents in the group. Some results of preliminary usability tests for the system are also provided shedding some light to the subject.
dc.description124
dc.description
dc.description120
dc.description127
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dc.languageen
dc.publisher
dc.relationACM International Conference Proceeding Series
dc.rightsfechado
dc.sourceScopus
dc.titleRevealing Relationships In Search Engine Results
dc.typeActas de congresos


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