View in EDS PDF Full Text

Properties-Based Retrieval and User Decision States: User Control and Behavior Modeling.

Saved in:
Bibliographic Details
Title: Properties-Based Retrieval and User Decision States: User Control and Behavior Modeling.
Source: Journal of the American Society for Information Science & Technology. Apr2004, Vol. 55 Issue 6, p488-497. 10p.
Subjects: Information resources, Information retrieval, Information science, Decision making, Search engines, Problem solving
Abstract: As retrieval set size in information retrieval (IR) becomes larger, users may need greater interactive opportunities to determine for themselves potential relevance of the resources offered by a given collection. A parts-of-document approach, coupled with an interactive graphic interface and control panel, permits end users to tailor the information seeking (IS) session. Applying the model described by the author in a previous paper in this journal, this paper explores two issues: whether a group of information seekers in the same research domain will want to use this type of IR interaction, and whether such interaction is more successful than relevancy ranked lists, based on the general vector model. In addition, the paper proposes the use of gradient space as a means of capturing end users' cognitive states-decision-making points- during a parts-of-document-based lR session. It concludes that, for a group of biomedical researchers, a parts-of-document approach is preferred for certain IR situations and that gradient space provides designers of systems with empirical evidence suited for systems analysis.
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 12713544
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Properties-Based Retrieval and User Decision States: User Control and Behavior Modeling.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Apr2004, Vol. 55 Issue 6, p488-497. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Information+resources%22">Information resources</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Search+engines%22">Search engines</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: As retrieval set size in information retrieval (IR) becomes larger, users may need greater interactive opportunities to determine for themselves potential relevance of the resources offered by a given collection. A parts-of-document approach, coupled with an interactive graphic interface and control panel, permits end users to tailor the information seeking (IS) session. Applying the model described by the author in a previous paper in this journal, this paper explores two issues: whether a group of information seekers in the same research domain will want to use this type of IR interaction, and whether such interaction is more successful than relevancy ranked lists, based on the general vector model. In addition, the paper proposes the use of gradient space as a means of capturing end users' cognitive states-decision-making points- during a parts-of-document-based lR session. It concludes that, for a group of biomedical researchers, a parts-of-document approach is preferred for certain IR situations and that gradient space provides designers of systems with empirical evidence suited for systems analysis.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=12713544
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/asi.10399
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 488
    Subjects:
      – SubjectFull: Information resources
        Type: general
      – SubjectFull: Information retrieval
        Type: general
      – SubjectFull: Information science
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Search engines
        Type: general
      – SubjectFull: Problem solving
        Type: general
    Titles:
      – TitleFull: Properties-Based Retrieval and User Decision States: User Control and Behavior Modeling.
        Type: main
  BibRelationships:
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2004
              Type: published
              Y: 2004
          Identifiers:
            – Type: issn-print
              Value: 15322882
          Numbering:
            – Type: volume
              Value: 55
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of the American Society for Information Science & Technology
              Type: main
ResultId 1