Persistent Link:
http://hdl.handle.net/10150/106376
Title:
The Use of Dynamic Contexts to Improve Casual Internet Searching
Author:
Leroy, Gondy; Lally, Ann M.; Chen, Hsinchun
Citation:
The Use of Dynamic Contexts to Improve Casual Internet Searching 2003-07, 21(3):229-253 ACM Transactions on Information Systems
Publisher:
ACM
Journal:
ACM Transactions on Information Systems
Issue Date:
Jul-2003
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106376
Submitted date:
2004-08-16
Abstract:
Research has shown that most usersâ online information searches are suboptimal. Query optimization based on a relevance feedback or genetic algorithm using dynamic query contexts can help casual users search the Internet. These algorithms can draw on implicit user feedback based on the surrounding links and text in a search engine result set to expand user queries with a variable number of keywords in two manners. Positive expansion adds terms to a userâ s keywords with a Boolean â and,â negative expansion adds terms to the userâ s keywords with a Boolean â not.â Each algorithm was examined for three user groups, high, middle, and low achievers, who were classified according to their overall performance. The interactions of users with different levels of expertise with different expansion types or algorithms were evaluated. The genetic algorithm with negative expansion tripled recall and doubled precision for low achievers, but high achievers displayed an opposed trend and seemed to be hindered in this condition. The effect of other conditions was less substantial.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Human Computer Interaction; Information Seeking Behaviors; World Wide Web
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Information retrieval; Personalization; Internet; Genetic; Algorithm; Relevance feedback; Automatic query expansion; Implicit user feedback

Full metadata record

DC FieldValue Language
dc.contributor.authorLeroy, Gondyen_US
dc.contributor.authorLally, Ann M.en_US
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-08-16T00:00:01Z-
dc.date.available2010-06-18T23:45:28Z-
dc.date.issued2003-07en_US
dc.date.submitted2004-08-16en_US
dc.identifier.citationThe Use of Dynamic Contexts to Improve Casual Internet Searching 2003-07, 21(3):229-253 ACM Transactions on Information Systemsen_US
dc.identifier.urihttp://hdl.handle.net/10150/106376-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractResearch has shown that most usersâ online information searches are suboptimal. Query optimization based on a relevance feedback or genetic algorithm using dynamic query contexts can help casual users search the Internet. These algorithms can draw on implicit user feedback based on the surrounding links and text in a search engine result set to expand user queries with a variable number of keywords in two manners. Positive expansion adds terms to a userâ s keywords with a Boolean â and,â negative expansion adds terms to the userâ s keywords with a Boolean â not.â Each algorithm was examined for three user groups, high, middle, and low achievers, who were classified according to their overall performance. The interactions of users with different levels of expertise with different expansion types or algorithms were evaluated. The genetic algorithm with negative expansion tripled recall and doubled precision for low achievers, but high achievers displayed an opposed trend and seemed to be hindered in this condition. The effect of other conditions was less substantial.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.subjectHuman Computer Interactionen_US
dc.subjectInformation Seeking Behaviorsen_US
dc.subjectWorld Wide Weben_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.subject.otherPersonalizationen_US
dc.subject.otherInterneten_US
dc.subject.otherGeneticen_US
dc.subject.otherAlgorithmen_US
dc.subject.otherRelevance feedbacken_US
dc.subject.otherAutomatic query expansionen_US
dc.subject.otherImplicit user feedbacken_US
dc.titleThe Use of Dynamic Contexts to Improve Casual Internet Searchingen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalACM Transactions on Information Systemsen_US
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