Building Better Search Engines by Measuring Search Quality.
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| Title: | Building Better Search Engines by Measuring Search Quality. |
|---|---|
| Authors: | Voorhees, Ellen M.1, Over, Paul1, Soboroff, Ian1 |
| Source: | IT Professional. Mar2014, Vol. 16 Issue 2, p22-30. 9p. |
| Subjects: | Search engines, Search engine programming, Database searching, Database management, Information technology |
| Abstract: | Search engines help users locate information within large stores of content developed for human consumption. For example, users expect Web search engines to direct searchers to websites based on the content of the site rather than the site address, and future video search engines to return video clips based on the actions recorded in the clip rather than filenames and donor tags. Search engines are developed using standard sets of realistic test cases that allow developers to measure the relative effectiveness of alternative approaches. The NIST Text Retrieval Conference (TREC) project has been instrumental in creating the necessary infrastructure to measure the quality of search results for more than 20 years, and has thus helped fuel the recent explosive growth in search-related technologies. This article is part of a special issue on NIST contributions to IT. [ABSTRACT FROM AUTHOR] |
| Copyright of IT Professional is the property of IEEE Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 95696426 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Building Better Search Engines by Measuring Search Quality. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Voorhees%2C+Ellen+M%2E%22">Voorhees, Ellen M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Over%2C+Paul%22">Over, Paul</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Soboroff%2C+Ian%22">Soboroff, Ian</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IT+Professional%22">IT Professional</searchLink>. Mar2014, Vol. 16 Issue 2, p22-30. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Search+engines%22">Search engines</searchLink><br /><searchLink fieldCode="DE" term="%22Search+engine+programming%22">Search engine programming</searchLink><br /><searchLink fieldCode="DE" term="%22Database+searching%22">Database searching</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Search engines help users locate information within large stores of content developed for human consumption. For example, users expect Web search engines to direct searchers to websites based on the content of the site rather than the site address, and future video search engines to return video clips based on the actions recorded in the clip rather than filenames and donor tags. Search engines are developed using standard sets of realistic test cases that allow developers to measure the relative effectiveness of alternative approaches. The NIST Text Retrieval Conference (TREC) project has been instrumental in creating the necessary infrastructure to measure the quality of search results for more than 20 years, and has thus helped fuel the recent explosive growth in search-related technologies. This article is part of a special issue on NIST contributions to IT. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IT Professional is the property of IEEE Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=95696426 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/MITP.2013.105 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 22 Subjects: – SubjectFull: Search engines Type: general – SubjectFull: Search engine programming Type: general – SubjectFull: Database searching Type: general – SubjectFull: Database management Type: general – SubjectFull: Information technology Type: general Titles: – TitleFull: Building Better Search Engines by Measuring Search Quality. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Voorhees, Ellen M. – PersonEntity: Name: NameFull: Over, Paul – PersonEntity: Name: NameFull: Soboroff, Ian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 15209202 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: IT Professional Type: main |
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