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    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/80100

    題名: A Cost-Effective Method for Early Fraud Detection in Online Auctions
    作者: Shih, Timothy K.;Chiu, Chuan-Feng;Hsu, Hui-Huang;Ma, Jianhua;Yang, Che-Yu
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: 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
    日期: 2001-09
    上傳時間: 2013-01-17 20:35:42 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers (IEEE)
    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.
    關聯: Proceedings of the Seventh International Conference on Distributed Multimedia Systems (DMS 2001),頁297-304
    DOI: 10.1109/ICTKE.2012.6408551
    顯示於類別:[資訊工程學系暨研究所] 期刊論文


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