Information navigation on the web by clustering and summarizing query results

Persistent Link:
http://hdl.handle.net/10150/106217
Title:
Information navigation on the web by clustering and summarizing query results
Author:
Roussinov, Dmitri G.; Chen, Hsinchun
Citation:
Information navigation on the web by clustering and summarizing query results 2001, 37(6):789-816 Information Processing and Management
Publisher:
Elsevier
Journal:
Information Processing and Management
Issue Date:
2001
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106217
Submitted date:
2004-09-14
Abstract:
We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (Alta Vista), thus allowing searches of the significant portion of the World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (Alta Vista) directly. We also analyzed effects of various related demographic and task related parameters.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Internet; World Wide Web; Information Extraction
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; Information retrieval

Full metadata record

DC FieldValue Language
dc.contributor.authorRoussinov, Dmitri G.en_US
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-09-14T00:00:01Z-
dc.date.available2010-06-18T23:42:41Z-
dc.date.issued2001en_US
dc.date.submitted2004-09-14en_US
dc.identifier.citationInformation navigation on the web by clustering and summarizing query results 2001, 37(6):789-816 Information Processing and Managementen_US
dc.identifier.urihttp://hdl.handle.net/10150/106217-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractWe report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (Alta Vista), thus allowing searches of the significant portion of the World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (Alta Vista) directly. We also analyzed effects of various related demographic and task related parameters.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectInterneten_US
dc.subjectWorld Wide Weben_US
dc.subjectInformation Extractionen_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.titleInformation navigation on the web by clustering and summarizing query resultsen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalInformation Processing and Managementen_US
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