DocumentCode
14237
Title
Building Better Search Engines by Measuring Search Quality
Author
Voorhees, Ellen M. ; Over, Paul ; Soboroff, Ian
Author_Institution
Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
Volume
16
Issue
2
fYear
2014
fDate
Mar.-Apr. 2014
Firstpage
22
Lastpage
30
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.
Keywords
Web sites; search engines; NIST Text Retrieval Conference project; TREC project; Web search engines; Web sites; search quality measurement; search results quality; search-related technologies; video clips; video search engines; Content management; Human factors; Information retrieval; Multimedia communication; NIST; Performance evaluation; Search engines; Search methods; Standards organizations; Text mining; effectiveness measurement; information retrieval; information technology; multimedia search;
fLanguage
English
Journal_Title
IT Professional
Publisher
ieee
ISSN
1520-9202
Type
jour
DOI
10.1109/MITP.2013.105
Filename
6679042
Link To Document