基于兴趣关联的对等网反垃圾邮件过滤模型  

P2P anti-spam filtering model base on interests' relationship

作　　者：付霞[1] 周欣[2] 高升宇[2] 孙萧寒[2] 

机构地区：[1]上海师范大学计算机系,上海201804 [2]渭南师范学院计算机系

出　　处：《计算机工程与设计》2008年第5期1112-1115,共4页Computer Engineering and Design

基　　金：渭南师范学院科研基金项目(04YKS019)

摘　　要：提出了一个基于用户兴趣关联的P2P(peer-to-peer)反垃圾邮件过滤模型,它通过使用一个基于相似兴趣自动聚集的查询算法,从而让这种无结构的网络变成一个具有相似兴趣的语义网络,使得本模型能很快地得到查询结果,提高了过滤效果,节省了资源,且具有较高的灵活性,弥补了当前协作式过滤模型的不足。A peer-to-peer anti-spare filtering model based on interest relationship is proposed. An auto clustering search algorithm is adopted according to user＇s similar interests. As a result, it makes an unstructured P2P network becomes as a similar interest semantic network. So the probability of discovering desired data items is increased, the filter＇s effect is improved, the resource is saved and the shortcomings of current collaboration filtering model are made up.

关 键 词：对等网 兴趣关联 协作式过滤 垃圾邮件 语义网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]