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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Jing, R., Qiu, X., Tao, Y., Guo, C., & Xin, Z. (2007). Ubiquitous intelligent information push-delivery for personalized content recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4611 LNCS, pp. 1121–1129). Springer Verlag. https://doi.org/10.1007/978-3-540-73549-6_109
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