Abstract
Personalized education is a very hot topic in distant research. To realize personalized E-leaming, a personalized recommendation service system was proposed and realized. Web technologies of personality and adaptive filtering were applied in the system. The structure of system, workflow and key technologies of realizing feature selection module, user interest module, personalized teaching resources filtering module were introduced in the paper. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Li, X., Luo, Q., & Yuan, J. (2007). Personalized recommendation service system in E-learning using web intelligence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4489 LNCS, pp. 531–538). Springer Verlag. https://doi.org/10.1007/978-3-540-72588-6_86
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