File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Design and evaluation of a multi-agent collaborative Web mining system

TitleDesign and evaluation of a multi-agent collaborative Web mining system
Authors
KeywordsCollaboration Behavior
Collaborative Filtering
Collaborative Information Retrieval
Multi-Agent Systems
Post-Retrieval Analysis
Software Agents
Web Content Mining
Web Searching
Issue Date2003
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dss
Citation
Decision Support Systems, 2003, v. 35 n. 1, p. 167-183 How to Cite?
AbstractMost existing Web search tools work only with individual users and do not help a user benefit from previous search experiences of others. In this paper, we present the Collaborative Spider, a multi-agent system designed to provide post-retrieval analysis and enable across-user collaboration in Web search and mining. This system allows the user to annotate search sessions and share them with other users. We also report a user study designed to evaluate the effectiveness of this system. Our experimental findings show that subjects' search performance was degraded, compared to individual search scenarios in which users had no access to previous searches, when they had access to a limited number (e.g., 1 or 2) of earlier search sessions done by other users. However, search performance improved significantly when subjects had access to more search sessions. This indicates that gain from collaboration through collaborative Web searching and analysis does not outweigh the overhead of browsing and comprehending other users' past searches until a certain number of shared sessions have been reached. In this paper, we also catalog and analyze several different types of user collaboration behavior observed in the context of Web mining. © 2002 Elsevier Science B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/177912
ISSN
2015 Impact Factor: 2.604
2015 SCImago Journal Rankings: 2.262
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChau, Men_US
dc.contributor.authorZeng, Den_US
dc.contributor.authorChen, Hen_US
dc.contributor.authorHuang, Men_US
dc.contributor.authorHendriawan, Den_US
dc.date.accessioned2012-12-19T09:40:48Z-
dc.date.available2012-12-19T09:40:48Z-
dc.date.issued2003en_US
dc.identifier.citationDecision Support Systems, 2003, v. 35 n. 1, p. 167-183en_US
dc.identifier.issn0167-9236en_US
dc.identifier.urihttp://hdl.handle.net/10722/177912-
dc.description.abstractMost existing Web search tools work only with individual users and do not help a user benefit from previous search experiences of others. In this paper, we present the Collaborative Spider, a multi-agent system designed to provide post-retrieval analysis and enable across-user collaboration in Web search and mining. This system allows the user to annotate search sessions and share them with other users. We also report a user study designed to evaluate the effectiveness of this system. Our experimental findings show that subjects' search performance was degraded, compared to individual search scenarios in which users had no access to previous searches, when they had access to a limited number (e.g., 1 or 2) of earlier search sessions done by other users. However, search performance improved significantly when subjects had access to more search sessions. This indicates that gain from collaboration through collaborative Web searching and analysis does not outweigh the overhead of browsing and comprehending other users' past searches until a certain number of shared sessions have been reached. In this paper, we also catalog and analyze several different types of user collaboration behavior observed in the context of Web mining. © 2002 Elsevier Science B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dssen_US
dc.relation.ispartofDecision Support Systemsen_US
dc.subjectCollaboration Behavioren_US
dc.subjectCollaborative Filteringen_US
dc.subjectCollaborative Information Retrievalen_US
dc.subjectMulti-Agent Systemsen_US
dc.subjectPost-Retrieval Analysisen_US
dc.subjectSoftware Agentsen_US
dc.subjectWeb Content Miningen_US
dc.subjectWeb Searchingen_US
dc.titleDesign and evaluation of a multi-agent collaborative Web mining systemen_US
dc.typeArticleen_US
dc.identifier.emailChau, M: mchau@hkucc.hku.hken_US
dc.identifier.authorityChau, M=rp01051en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0167-9236(02)00103-3en_US
dc.identifier.scopuseid_2-s2.0-0037375152en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037375152&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume35en_US
dc.identifier.issue1en_US
dc.identifier.spage167en_US
dc.identifier.epage183en_US
dc.identifier.isiWOS:000180433400010-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridChau, M=7006073763en_US
dc.identifier.scopusauthoridZeng, D=7102694556en_US
dc.identifier.scopusauthoridChen, H=8871373800en_US
dc.identifier.scopusauthoridHuang, M=37095858600en_US
dc.identifier.scopusauthoridHendriawan, D=6504093186en_US
dc.identifier.citeulike859295-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats