%0 Journal Article
%T Research on Attack on Personalized Recommendations in E-commerce<br>电子商务推荐攻击研究
%A YU Li
%A DONG Si-Wei
%A GUO Bin
%A <br>余力
%A 董斯维
%A 郭斌
%J 计算机科学
%D 2007
%I 
%X Personalized recommendation is important method and technology to carry out CRM.Collaborative filtering which is used widely is vital central technology of personalized recommendation,but the recommended result is so sensitive to user perfect information that the recommendcd system has significant vulnerabilitics.E-business recommended secure is the key of whether the personalized recommendation can success or not,Concept of E-business recommended system is bricfly intruduced.Concepts,character,attack cost and attack effectiveness of recommended attack are elaborated,then alanyzing and comparing all kinds of attack model,as following the attack defective model.Finally,the authors make conclusion and present research challenge in the future.
%K Collaborative filtering
%K Rccommended system
%K Personalized rccommendation
%K Attack model
%K Secure in E-commercc<br>协同过滤
%K 推荐系统
%K 个性化推荐
%K 攻击模型
%K 电子商务安全
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A513957B024885E709B2788535E33D3A&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=94C357A881DFC066&sid=03A030BB0C519C60&eid=09E495F616948E78&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=22