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Searching the web: The public and their queries

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2001 Australia Publisher:WileyJournal:Journal of the American Society for Information Science and Technology, volume 52, pages 226-234 (issn: 1532-2882, eissn: 1532-2890,

Authors: Spink, Amanda; Wolfram, Dietmar; Jansen, Bernard; Saracevic, Tefko;

doi: 10.1002/1097-4571(2000)9999:9999<::aid-asi1591>3.3.co;2-i , 10.1002/1097-4571(2000)9999:9999<::aid-asi1591>3.0.co;2-r

Searching the web: The public and their queries

- Summary
- Subjects
- Metrics

Abstract

In studying actual Web searching by the public at large, we analyzed over one million Web queries by users of the Excite search engine. We found that most people use few search terms, few modified queries, view few Web pages, and rarely use advanced search features. A small number of search terms are used with high frequency, and a great many terms are unique; the language of Web queries is distinctive. Queries about recreation and entertainment rank highest. Findings are compared to data from two other large studies of Web queries. This study provides an insight into the public practices and choices in Web searching.

Country

Australia

Related Organizations

University of Maryland, College Park
United States
Rutgers, The State University of New Jersey
United States
Pennsylvania State University
United States
Queensland University of Technology
Australia
RK University
India

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Keywords

020, 004

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	784
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 0.01%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.1%