由于电子邮件在互联网上的广泛应用,出现了垃圾邮件的泛滥和占用网络带宽,垃圾邮件给用户正常收发邮件造成了严重困扰。提出了一种新的基于兴趣相似度的协作式邮件过滤方案,使得兴趣相似的用户迅速聚合成信息共享的团体,每个用户在团体内选择出最合适的过滤规则集进行有效的共享。实验表明,该方案在保持一定的过滤精度的同时有效降低了误判率。 Due to the extensive use of e-mail on the Internet, there has been a proliferation of spam and network bandwidth, spam e-mail users to send and receive a serious problem. A new collaborative email filtering scheme based on the similarity of interest is proposed. Users with similar interests can be rapidly aggregated into information-sharing groups. Each user selects the most suitable filtering rule set for effective sharing in the group. Experiments show that this scheme can effectively reduce the false positive rate while maintaining a certain degree of filtering accuracy.