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Techniques and tools for making sense out of heterogeneous search service results

Author: Michelle Q Wang Baldonado; Terry Winograd; Stanford University. Computer Science Department.
Publisher: Stanford, Calif. : Stanford University, Dept. of Computer Science, [1997]
Series: Report (Stanford University. Computer Science Department), no. STAN-CS-TR-97-1585.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Abstract: "We describe a set of techniques that allows users to interact with results at a higher level than the citation level, even when those results come from a variety of heterogeneous on-line search services. We believe that interactive result analysis allows users to 'make sense' out of the potentially many results that may match the constraints they have supplied to the search services. The inspiration for  Read more...
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Document Type: Book
All Authors / Contributors: Michelle Q Wang Baldonado; Terry Winograd; Stanford University. Computer Science Department.
OCLC Number: 37389248
Notes: Cover title.
"January 1997."
Description: 12 pages : illustrations ; 28 cm.
Series Title: Report (Stanford University. Computer Science Department), no. STAN-CS-TR-97-1585.
Responsibility: by Michelle Q. Wang Baldonado and Terry Winograd.

Abstract:

Abstract: "We describe a set of techniques that allows users to interact with results at a higher level than the citation level, even when those results come from a variety of heterogeneous on-line search services. We believe that interactive result analysis allows users to 'make sense' out of the potentially many results that may match the constraints they have supplied to the search services. The inspiration for this approach comes from reference librarians, who do not respond to patrons' questions with lists of citations, but rather give high-level answers that are tailored to the patron's needs. We outline here the details of the methods we employ in order to meet our goal of allowing for dynamic, user-directed abstraction over result sets, as well as the prototype tool (SenseMaker) we have built based upon these techniques. We also take a brief look at the more general theory that underlies the tool, and hypothesize that it is applicable to flexible duplicate detection as well."

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