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Article: Automatic construction of online catalog topologies

TitleAutomatic construction of online catalog topologies
Authors
KeywordsDecision tree
Metrics
Online catalog
Tree optimization
Issue Date2002
PublisherI E E E. 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, 2002, v. 32 n. 4, p. 382-391 How to Cite?
AbstractGiven a set of products, where each is characterized by a set of attribute values, an online catalog is an organization of a set of product pages on the web through which users can access their required product information. A good online catalog is crucial to the success of an e-commerce web site. Traditionally, an online catalog is mainly built by hand. To what extent this can be automated is a challenging problem. Recently, there have been investigations on how to reorganize an existing online catalog based on some criteria, but none of them has addressed the problem of organizing an online catalog automatically from scratch. This paper attempts to tackle this problem. We model an online catalog organization as a decision tree structure and propose a metric, based on the popularity of products and the relative importance of product attribute values, to evaluate the quality of a catalog organization. The problem is then formulated as a decision tree construction problem. Although traditional decision tree algorithms, such as C4.5, can be used to generate online catalog organization, the catalog constructed is generally not good based on our metric. An efficient greedy algorithm (GENCAT) is thus developed, and the experimental results show that GENCAT produces better catalog organizations based on our metric.
Persistent Identifierhttp://hdl.handle.net/10722/43666
ISSN
2014 Impact Factor: 2.171
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSung, WKen_HK
dc.contributor.authorYang, Den_HK
dc.contributor.authorYiu, SMen_HK
dc.contributor.authorCheung, DWen_HK
dc.contributor.authorHo, WSen_HK
dc.contributor.authorLam, TWen_HK
dc.date.accessioned2007-03-23T04:51:35Z-
dc.date.available2007-03-23T04:51:35Z-
dc.date.issued2002en_HK
dc.identifier.citationIeee Transactions On Systems, Man And Cybernetics Part C: Applications And Reviews, 2002, v. 32 n. 4, p. 382-391en_HK
dc.identifier.issn1094-6977en_HK
dc.identifier.urihttp://hdl.handle.net/10722/43666-
dc.description.abstractGiven a set of products, where each is characterized by a set of attribute values, an online catalog is an organization of a set of product pages on the web through which users can access their required product information. A good online catalog is crucial to the success of an e-commerce web site. Traditionally, an online catalog is mainly built by hand. To what extent this can be automated is a challenging problem. Recently, there have been investigations on how to reorganize an existing online catalog based on some criteria, but none of them has addressed the problem of organizing an online catalog automatically from scratch. This paper attempts to tackle this problem. We model an online catalog organization as a decision tree structure and propose a metric, based on the popularity of products and the relative importance of product attribute values, to evaluate the quality of a catalog organization. The problem is then formulated as a decision tree construction problem. Although traditional decision tree algorithms, such as C4.5, can be used to generate online catalog organization, the catalog constructed is generally not good based on our metric. An efficient greedy algorithm (GENCAT) is thus developed, and the experimental results show that GENCAT produces better catalog organizations based on our metric.en_HK
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dc.languageengen_HK
dc.publisherI E E E. 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.rights©2002 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.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectDecision treeen_HK
dc.subjectMetricsen_HK
dc.subjectOnline catalogen_HK
dc.subjectTree optimizationen_HK
dc.titleAutomatic construction of online catalog topologiesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1094-6977&volume=32&issue=4&spage=382&epage=391&date=2002&atitle=Automatic+construction+of+online+catalog+topologiesen_HK
dc.identifier.emailYiu, SM: smyiu@cs.hku.hken_HK
dc.identifier.emailCheung, DW: dcheung@cs.hku.hken_HK
dc.identifier.emailHo, WS: wsho@cs.hku.hken_HK
dc.identifier.emailLam, TW: hresltk@hkucc.hku.hken_HK
dc.identifier.authorityYiu, SM=rp00207en_HK
dc.identifier.authorityCheung, DW=rp00101en_HK
dc.identifier.authorityHo, WS=rp01730en_HK
dc.identifier.authorityLam, TW=rp00135en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TSMCC.2002.806055en_HK
dc.identifier.scopuseid_2-s2.0-0036881527en_HK
dc.identifier.hkuros82922-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036881527&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume32en_HK
dc.identifier.issue4en_HK
dc.identifier.spage382en_HK
dc.identifier.epage391en_HK
dc.identifier.isiWOS:000180855700011-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridSung, WK=13310059700en_HK
dc.identifier.scopusauthoridYang, D=7404800810en_HK
dc.identifier.scopusauthoridYiu, SM=7003282240en_HK
dc.identifier.scopusauthoridCheung, DW=34567902600en_HK
dc.identifier.scopusauthoridHo, WS=7402968940en_HK
dc.identifier.scopusauthoridLam, TW=7202523165en_HK

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