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Collaborative Filtering Recommendation Method for Online Teaching Resources of Elderly Care Specialty

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e-Learning, e-Education, and Online Training (eLEOT 2022)

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Abstract

The explosive growth of the number and scale of online education resources makes it difficult for learners of elderly care to obtain the online teaching resources they need in time. However, the traditional resource collaborative filtering recommendation method has the disadvantage of low recommendation accuracy. To solve this problem, this study proposed a recommendation method for collaborative filtering of online teaching resources in elderly care. The organizational form of online teaching resources for elderly care major was deeply analyzed, and then the learning behavior data of learners were collected and analyzed, and the preferences of target learners were calculated. Based on this, the BP neural network is used to construct the target learner preference model, and then the collaborative filtering algorithm is used to predict the score of online teaching resources, so as to realize the recommendation of collaborative filtering of online teaching resources. Experimental data show that compared with traditional methods, the proposed method has higher recommendation accuracy and recall rate, which proves the effectiveness of the proposed method.

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Acknowledgement

This paper is a phased research result of “Research on the Development of elderly Care Services from the perspective of Health Rule of law Construction” (Project Number :21WT69), funded by the “14th Five-Year Plan” Fund project of Social Sciences of Jiangxi Province in 2021.

Author information

Authors and Affiliations

  1. Gannan Medical University, Ganzhou, 341000, China

    Wei Chen

  2. Guangdong Polytechnic of Environmental Protection Engineering, Foshan, 528216, China

    Zhixiong Jian

Authors
  1. Wei Chen
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  2. Zhixiong Jian
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Editor information

Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, W., Jian, Z. (2022). Collaborative Filtering Recommendation Method for Online Teaching Resources of Elderly Care Specialty. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_14

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  • DOI: https://doi.org/10.1007/978-3-031-21164-5_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21163-8

  • Online ISBN: 978-3-031-21164-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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