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:A rough set-based association rule approach for a recommendation system for online consumers
學年105
學期1
出版(發表)日期2016/11/01
作品名稱A rough set-based association rule approach for a recommendation system for online consumers
作品名稱(其他語言)
著者Liao, Shu-hsien; ChangHsiao-ko
單位
出版者
著錄名稱、卷期、頁數Information Processing & Management 52(6), p.1142–1160
摘要Increasing use of the Internet gives consumers an evolving medium for the purchase of products and services and this use means that the determinants for online consumers’ purchasing behaviors are more important. Recommendation systems are decision aids that analyze a customer's prior online purchasing behavior and current product information to find matches for the customer's preferences. Some studies have also shown that sellers can use specifically designed techniques to alter consumer behavior. This study proposes a rough set based association rule approach for customer preference analysis that is developed from analytic hierarchy process (AHP) ordinal data scale processing. The proposed analysis approach generates rough set attribute functions, association rules and their modification mechanism. It also determines patterns and rules for e-commerce platforms and product category recommendations and it determines possible behavioral changes for online consumers.
關鍵字Data mining;Rough set;Association rule;Rough set association rule;Analytic hierarchy process;Recommendation systems
語言英文
ISSN0306-4573;1873-5371
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別英國
公開徵稿
出版型式,電子版,紙本
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