教師資料查詢 | 類別: 期刊論文 | 教師: 許輝煌 Hsu Hui-huang (瀏覽個人網頁)

標題:A Cost-Effective Method for Early Fraud Detection in Online Auctions
學年90
學期1
出版(發表)日期2001/09/01
作品名稱A Cost-Effective Method for Early Fraud Detection in Online Auctions
作品名稱(其他語言)
著者Shih, Timothy K.; Chiu, Chuan-Feng; Hsu, Hui-Huang; Ma, Jianhua; Yang, Che-Yu
單位淡江大學資訊工程學系
出版者Institute of Electrical and Electronics Engineers (IEEE)
著錄名稱、卷期、頁數Proceedings of the Seventh International Conference on Distributed Multimedia Systems (DMS 2001),頁297-304
摘要Internet has become a popular medium for information exchange anddelivery knowledge. Many people get the useful information what theywanted from the Internet and network. Several traditional socialactivities have changed to work in the Internet, like distancelearning and tele-medical system. Traditional buying and sellingactivities also follow the trend. Almost all things will be sold inthe Internet, user will buy the product from the Internet too. Howeverwith the advent of the World Wide Web, online merchant must know whatusers wanted or interests and let user buying something in their site.So recommendation process became an important strategy for themerchants. In this paper we analysis users' behavior and theirinteresting, and then we recommend something to these users. Theanalysis mechanism is based on the correlations among customer,product items, and product features. In this paper we propose analgorithm to classify users into groups and recommend product itemsbased on these classified groups. And the system will help merchantsto make suitable business decision and make personal information tocustomers.
關鍵字fraud detection;e-commerce;online auction;classification;clustering;電子商務;推薦系統;網際網路;全球資訊網;使用者分類;Electronic Commerce;Recommendation System;Internet;World Wide Web;User Classification
語言英文
ISSN2157-0981
期刊性質
收錄於EI
產學合作
通訊作者
審稿制度
國別中華民國
公開徵稿Y
出版型式電子版
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