在线拍卖中的Shill出价识别模型  

Research of Shill Bidding Detection Model in Online Auctions

作　　者：李雪峰[1] 刘鲁[1] 张曌[1] 

机构地区：[1]北京航空航天大学经济管理学院,北京100083

出　　处：《系统管理学报》2007年第4期360-364,共5页Journal of Systems & Management

基　　金：国家自然科学基金资助项目(70371004);教育部博士点基金资助项目(20040006023)

摘　　要：在线拍卖这种新的交易方式已经开始逐渐深入到人们的日常生活,但消费者在享受在线拍卖自由与便捷的同时,也屡屡受到欺诈,这严重影响了交易的诚信,Shill出价就是在线拍卖中典型的欺诈形式之一。如果能够识别Shill出价,就可以有目标地跟踪交易过程,使得Shill出价免于发生或尽量减少发生。在不改变费用结构的前提下,本文运用关联规则,在充分考虑Shill出价特点的基础上,分析卖者和买者间的关系,试图为Shill出价的识别提供一种行之有效的方法。实验结果证明了该方法的有效性。Online auctions, a new transaction style has entered people＇s daily life. But, as the customer enjoys convenience and freedom of online auctions, they are deceived repeatedly. The fraud has affected seriously credit of transactions. Shill bid is one of typical fraud forms. If Shill bid may be recognized, the managers can follow the trade processes by intention, that make Shill bid not or little occur. On the premise that fee structure is not changed, associate rule method is used to analyze the relation between sellers and buyers on the basis of considering seriously a few characteristics of Shill bid. At last, experiment results show that the Shill bid recognition model outperforms the previous ones and the recognition results to the shill bid behavior are more convincing.

关 键 词：在线拍卖 Shill出价识别 关联规则 

分 类 号：F270[经济管理—企业管理]