가중치 기반의 순차패턴 탐사를 이용한 추천서비스에 관한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조영성 | - |
dc.contributor.author | 문송철 | - |
dc.contributor.author | 안연식 | - |
dc.date.available | 2020-02-28T19:44:35Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 1598-2009 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/13328 | - |
dc.description.abstract | Along with the advent of ubiquitous computing environment, it is becoming a part of our common life style that the demands for enjoying the wireless internet using intelligent portable device such as smart phone and iPad, are increasing anytime or anyplace without any restriction of time and place. The recommending service becomes a very important technology which can find exact information to present users, then is easy for customers to reduce their searching effort to find out the items with high purchasability in e-commerce. Traditional mining association rule ignores the difference among the transactions. In order to do that, it is considered the importance of type of merchandise or service and then, we suggest a new recommending service using mining sequential pattern based on weight to reflect frequently changing trends of purchase pattern as time goes by and as often as customers need different merchandises on e-commerce being extremely diverse. To verify improved better performance of proposing system than the previous systems, we carry out the experiments in the same dataset collected in a cosmetic internet shopping mall. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 한국디지털콘텐츠학회 | - |
dc.relation.isPartOf | 디지털콘텐츠학회논문지 | - |
dc.title | 가중치 기반의 순차패턴 탐사를 이용한 추천서비스에 관한 연구 | - |
dc.title.alternative | A Study of Recommending Service Using Mining Sequential Pattern based on Weight | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 2 | - |
dc.identifier.doi | 10.9728/dcs.2014.15.6.711 | - |
dc.identifier.bibliographicCitation | 디지털콘텐츠학회논문지, v.15, no.6, pp.711 - 719 | - |
dc.identifier.kciid | ART001955304 | - |
dc.citation.endPage | 719 | - |
dc.citation.startPage | 711 | - |
dc.citation.title | 디지털콘텐츠학회논문지 | - |
dc.citation.volume | 15 | - |
dc.citation.number | 6 | - |
dc.contributor.affiliatedAuthor | 안연식 | - |
dc.subject.keywordAuthor | e-commerce | - |
dc.subject.keywordAuthor | Ubiquitous computing | - |
dc.subject.keywordAuthor | Data Mining | - |
dc.subject.keywordAuthor | Sequential Pattern | - |
dc.subject.keywordAuthor | Recommending Service | - |
dc.subject.keywordAuthor | 전자상거래 | - |
dc.subject.keywordAuthor | 데이터마이닝 | - |
dc.subject.keywordAuthor | 순차패턴탐사 | - |
dc.subject.keywordAuthor | 추천서비스 | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.