Paper Infomation
Research and Application of Personalized Teaching Platform Based on Big Data and Collaborative Filtering Technology
Full Text(PDF, 263KB)
Author: Chuanyou Gao, Rongrong Lin
Abstract: Collaborative filtering technology belongs to the recommendation algorithm, which can realize the personalized recommendation of different user resources. In the process of promoting teaching reform in China, it emphasizes the sharing of teaching resources and personalized recommendation, so as to realize the building of teaching platform. In this paper, big data technology and collaborative filtering technology are applied to the construction of personalized teaching platform, which expounds the basic functions and architecture of the system, and uses the personalized recommendation algorithm to realize the promotion and application of personalized resources. The platform can not only realize the sharing of resources, but also display personalized resources to meet the basic needs of practical teaching and improve the imbalance of teaching resources. The results show that the platform is powerful and effective, and can assist in personalized teaching activities based on the recommendation of different resources by the users.
Keywords: Collaborative Filtering Technology, Personalized Teaching, System Framework, Resource Sharing
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