Abstract
With the popularity of Internet technology, it becomes more difficult for users to retrieve their needed information from so enormous information space. Thus the issue of information overload formed. To solve the problem, recommender system emerged. This paper presents the personalized intelligent tutoring system based on Content-Based Filter Algorithm. The system will be implemented based on Perl with the advantages of developers paying heed to the program logic without caring for data storage, rule of operation and other details. And the use of open source Mojolicious framework can significantly accelerate the development cycle. The function of personalized information recommendation of an intelligent tutoring system will be achieved and personalized information will be recommended to users to improve their learning efficiency.
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Acknowledgments
Project supported by the Education Department of Liaoning province science and Technology Research Fund Project (L2013417).
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Song, B., Zhuo, Y., Li, X. (2016). A Personalized Intelligent Tutoring System of Primary Mathematics Based on Perl. In: Tan, Y., Shi, Y., Li, L. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9713. Springer, Cham. https://doi.org/10.1007/978-3-319-41009-8_66
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DOI: https://doi.org/10.1007/978-3-319-41009-8_66
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