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Article: Incorporating web analysis into neural networks: An example in hopfield net searching

TitleIncorporating web analysis into neural networks: An example in hopfield net searching
Authors
KeywordsHopfield net
Neural network
Spreading activation
Web analysis
Web mining
Issue Date2007
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5326
Citation
IEEE Transactions On Systems, Man And Cybernetics Part C: Applications And Reviews, 2007, v. 37 n. 3, p. 352-358 How to Cite?
AbstractNeural networks have been used in various applications on the World Wide Web, but most of them only rely on the available input-output examples without incorporating Web-specific knowledge, such as Web link analysis, into the network design. In this paper, we propose a new approach in which the Web is modeled as an asymmetric Hopfield Net. Each neuron in the network represents a Web page, and the connections between neurons represent the hyperlinks between Web pages. Web content analysis and Web link analysis are also incorporated into the model by adding a page content score function and a link score function into the weights of the neurons and the synapses, respectively. A simulation study was conducted to compare the proposed model with traditional Web search algorithms, namely, a breadth-first search and a best-first search using PageRank as the heuristic. The results showed that the proposed model performed more efficiently and effectively in searching for domain-specific Web pages. We believe that the model can also be useful in other Web applications such as Web page clustering and search result ranking. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/85882
ISSN
2014 Impact Factor: 2.171
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChau, Men_HK
dc.contributor.authorChen, Hen_HK
dc.date.accessioned2010-09-06T09:10:20Z-
dc.date.available2010-09-06T09:10:20Z-
dc.date.issued2007en_HK
dc.identifier.citationIEEE Transactions On Systems, Man And Cybernetics Part C: Applications And Reviews, 2007, v. 37 n. 3, p. 352-358en_HK
dc.identifier.issn1094-6977en_HK
dc.identifier.urihttp://hdl.handle.net/10722/85882-
dc.description.abstractNeural networks have been used in various applications on the World Wide Web, but most of them only rely on the available input-output examples without incorporating Web-specific knowledge, such as Web link analysis, into the network design. In this paper, we propose a new approach in which the Web is modeled as an asymmetric Hopfield Net. Each neuron in the network represents a Web page, and the connections between neurons represent the hyperlinks between Web pages. Web content analysis and Web link analysis are also incorporated into the model by adding a page content score function and a link score function into the weights of the neurons and the synapses, respectively. A simulation study was conducted to compare the proposed model with traditional Web search algorithms, namely, a breadth-first search and a best-first search using PageRank as the heuristic. The results showed that the proposed model performed more efficiently and effectively in searching for domain-specific Web pages. We believe that the model can also be useful in other Web applications such as Web page clustering and search result ranking. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5326en_HK
dc.relation.ispartofIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviewsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectHopfield neten_HK
dc.subjectNeural networken_HK
dc.subjectSpreading activationen_HK
dc.subjectWeb analysisen_HK
dc.subjectWeb miningen_HK
dc.titleIncorporating web analysis into neural networks: An example in hopfield net searchingen_HK
dc.typeArticleen_HK
dc.identifier.emailChau, M: mchau@hkucc.hku.hken_HK
dc.identifier.authorityChau, M=rp01051en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TSMCC.2007.893277en_HK
dc.identifier.scopuseid_2-s2.0-34247205737en_HK
dc.identifier.hkuros137553en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34247205737&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume37en_HK
dc.identifier.issue3en_HK
dc.identifier.spage352en_HK
dc.identifier.epage358en_HK
dc.identifier.isiWOS:000246090900005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChau, M=7006073763en_HK
dc.identifier.scopusauthoridChen, H=8871373800en_HK

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