DC Field | Value | Language |
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dc.contributor.author | Lee, JS | - |
dc.contributor.author | Jun, CH | - |
dc.contributor.author | Lee, J | - |
dc.contributor.author | Kim, S | - |
dc.date.accessioned | 2016-04-01T02:05:52Z | - |
dc.date.available | 2016-04-01T02:05:52Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2005-10 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.other | 2005-OAK-0000005388 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/24409 | - |
dc.description.abstract | Collaborative filtering based on voting scores has been known to be the most successful recommendation technique and has been used in a number of different applications. However, since voting scores are not easily available, similar techniques should be needed for the market basket data in the form of binary user-item matrix. We viewed this problem as a two-class classification problem and proposed a new recommendation scheme using binary logistic regression models applied to binary user-item data. We also suggested using principal components as predictor variables in these models. The proposed scheme was illustrated with a numerical experiment, where it was shown to outperform the existing one in terms of recommendation precision in a blind test. (c) 2005 Elsevier Ltd. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.relation.isPartOf | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.subject | binary logistic regression | - |
dc.subject | classification | - |
dc.subject | collaborative filtering | - |
dc.subject | market basket data | - |
dc.subject | principal component analysis | - |
dc.title | Classification-based collaborative filtering using market basket data | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1016/j.eswa.2005.04.037 | - |
dc.author.google | Lee, JS | - |
dc.author.google | Jun, CH | - |
dc.author.google | Lee, J | - |
dc.author.google | Kim, S | - |
dc.relation.volume | 29 | - |
dc.relation.issue | 3 | - |
dc.relation.startpage | 700 | - |
dc.relation.lastpage | 704 | - |
dc.contributor.id | 10081901 | - |
dc.relation.journal | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | EXPERT SYSTEMS WITH APPLICATIONS, v.29, no.3, pp.700 - 704 | - |
dc.identifier.wosid | 000231659400019 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 704 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 700 | - |
dc.citation.title | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.citation.volume | 29 | - |
dc.contributor.affiliatedAuthor | Jun, CH | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.contributor.affiliatedAuthor | Kim, S | - |
dc.identifier.scopusid | 2-s2.0-24144432106 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 28 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | binary logistic regression | - |
dc.subject.keywordAuthor | classification | - |
dc.subject.keywordAuthor | collaborative filtering | - |
dc.subject.keywordAuthor | market basket data | - |
dc.subject.keywordAuthor | principal component analysis | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
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