Abstract
With the integration of advanced concepts and technologies, such as Web2.0, Web3.0 and cloud computing, the teaching resources of the virtual learning community are constantly enriched and expanded to bring diversification and autonomy to the users. It also to different backgrounds and different preferences of the user’s teaching resources required for the inconvenience in a large number of teaching resources can not accurately choose their own teaching resources. In order to more effectively recommend the products of interest to users, this paper uses Java EE 5 technology to achieve a user interface with good interactivity. At the same time, an ALS recommendation algorithm based on Spark is proposed, and the performance and effect evaluation of the system are made in the virtual learning community.
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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., Wu, H., Li, X., Guo, L., Liu, C. (2017). The Design and Development of the Virtual Learning Community for Teaching Resources Personalized Recommendation. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10386. Springer, Cham. https://doi.org/10.1007/978-3-319-61833-3_12
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DOI: https://doi.org/10.1007/978-3-319-61833-3_12
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