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《Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)》 2011-06
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A personalized E-mail classification method based on improved KNN

DENG Wen-tao,WANG Guo-yin,DONG Zhen-xing(Institute of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China)  
Regarding such traits as irregularity of receiving the emails and imbalance between email category and the quantity,the thesis puts forward a personalized improved KNN algorithm of filtering the emails.Improving the counting method on interests and removing the influence of the users' habits on the establishment of interest model,the method perfects KNN algorithm and thus achieves better classification of the emails based on the research as to the issues of category deviation.Experiments show that improved KNN filtering method could help the users classify the emails according to the users' interests much more accurately.
【Fund】: 国家自然科学基金(60773113)~~
【CateGory Index】: TP393.098
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