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New recommender system for web personalization

DC Field Value Language
dc.contributor.advisor김병도-
dc.contributor.author김선옥-
dc.date.accessioned2010-01-17T01:46:00Z-
dc.date.available2010-01-17T01:46:00Z-
dc.date.copyright2001.-
dc.date.issued2001-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000063209eng
dc.identifier.urihttp://hdl.handle.net/10371/35259-
dc.descriptionThesis (doctoral)--서울대학교 경영대학원 :경영학과,2001.en
dc.format.extentvii, 92 p.en
dc.language.isoenen
dc.publisher서울대학교 경영대학원en
dc.subjectrecommender systemen
dc.subject추천 모형en
dc.subjectpersonalized marketingen
dc.subject고객 맞춤형 마케팅en
dc.subjecthybrid modelen
dc.subject혼합 방식en
dc.subjectcollaborative-filteringen
dc.subject구전효과 방식en
dc.subjectcontent-baseden
dc.subject내용 중심 방식en
dc.titleNew recommender system for web personalizationen
dc.typeThesis-
dc.contributor.department경영학과-
dc.description.degreeDoctoren
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College of Business Administration/Business School (경영대학/대학원)Dept. of Business Administration (경영학과)Theses (Ph.D. / Sc.D._경영학과)
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