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《Journal of Beijing University of Posts and Telecommunications》 2006-06
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The Research of News Recommendation Service Based on Mobile Off-Line Reading System

ZHANG Rui-hua,ZHOU Yan-quan,WANG Cong,LI Lei(Research Center of Intelligence Science and Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China)  
Personalized information service is studied for providing high quality mobile information service to mobile users.Based on the mobile off-line reading system, an algorithm of the individuation recommendation service is proposed.The K near neighbors classification method is adjusted so as to trace,log,model and analyze the series of users' actions for news browsing.Then the personalized features are classified and saved,and could be used later in the system to provide the real-time indivi-(dual) information recommendation for each user's access to news.Simulation experiment result has certified the utility and feasibility of the individual recommendation algorithm.The accuracy of the(recommendation) can reach 70%.
【CateGory Index】: TN929.53;TP319
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