教師資料查詢 | 類別: 期刊論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題:Mining Customer Knowledge for a Recommendation System in Convenience Stores
學年102
學期2
出版(發表)日期2014/06/01
作品名稱Mining Customer Knowledge for a Recommendation System in Convenience Stores
作品名稱(其他語言)
著者Liao, S. H.; Wen, C. H.; Hsiao, P.Y.; Li, C. W.; Hsu, C. W.
單位淡江大學管理科學學系
出版者Hershey: I G I Global
著錄名稱、卷期、頁數International Journal of Data Warehousing and Mining 10(2), pp.55-86
摘要Taiwan's rapid economic growth with increasing personal income leads increasing numbers of young unmarried people to eat out, and shopping at convenience stores for food is indispensable to the lives of these people. Thus, it is an essential issue for convenience store owners to know how to accurately market appropriate products and to choose effective endorsers for brands or products in order to attract target consumers. Data mining is a business intelligence analysis approach with great potential to help businesses focus on the most important business information contained in a database. Therefore, this study uses the Apriori algorithm as an association rules approach, and clustering analysis for data mining. The authors divide consumers into three groups by their consumer profiles and then find each group's product preference mixes, product endorsers, and product/brand line extensions for new product development. These are developed as a recommendation system for 7-11 convenience stores in Taiwan.
關鍵字
語言英文(美國)
ISSN1548-3924
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,紙本
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