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《Journal of Beijing University of Posts and Telecommunications》 2008-03
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A Large-Scale Online Spam Short Message Filtering System

HUANG Wen-liang1,2,LI Shi-jian1,LIU Ju-xin1,XU Cong-fu1(1.College of Computer Science,Zhejiang University,Hangzhou 310027,China;2.Zhejiang Branch of China Unicom Corporation Limited,Hangzhou 310006,China)  
It's well known that the spam-short-messages are annoying cell-phone users and mobile service providers everyday.A new spam-short-messages filtering system,combining online filtering with offline classifying,is presented.The system can filter messages efficiently according to the sending behavior characteristics and the messages contents.Additionally,a self-learning mechanism is designed based on its operators' feedback.It enables the classifiers of the system to improve themselves according to the filtering results.Compared with traditional methods,the presented method has better performance in terms of filtering efficiency and accuracy.
【Fund】: 国家“863计划”项目(2007AA01Z197);; 国家自然科学基金项目(60402010)
【CateGory Index】: TP319
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