Ubiquitous intelligent information push-delivery for personalized content recommendation

Authors:
Ranzhe Jing;Xun Qiu;Yiyi Tao;Caifen Guo;Zhiyun Xin
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, China;National Engineering Research Center for Enterprise Information Software, Suzhou Manufacturing Industry Information Research Center, Suzhou, China;National Engineering Research Center for Enterprise Information Software, Suzhou Manufacturing Industry Information Research Center, Suzhou, China;National Engineering Research Center for Enterprise Information Software, Suzhou Manufacturing Industry Information Research Center, Suzhou, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China
Venue:
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Year:
2007

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Abstract

In this paper, an adaptive information push delivery method for time series data recommendation in ubiquitous environment is proposed for personalized information service, in which complicated financial data time series prediction method based on LS-SVM is adopted to learn to user's preference in a fairly good way, experiments of the method showed good forecasting performance for time series content recommendation.