Research Article
Recommendation Method of Nursing Teaching Resources in Geriatric Internal Medicine Based on Internet of Things Technology
@INPROCEEDINGS{10.1007/978-3-030-94182-6_19, author={Hua Fan}, title={Recommendation Method of Nursing Teaching Resources in Geriatric Internal Medicine Based on Internet of Things Technology}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II}, proceedings_a={IOTCARE PART 2}, year={2022}, month={6}, keywords={Internet of Things technology Geriatric internal medicine nursing Curriculum resource recommendation Recommendation order}, doi={10.1007/978-3-030-94182-6_19} }- Hua Fan
Year: 2022
Recommendation Method of Nursing Teaching Resources in Geriatric Internal Medicine Based on Internet of Things Technology
IOTCARE PART 2
Springer
DOI: 10.1007/978-3-030-94182-6_19
Abstract
When many learning websites recommend course resources, the correlation between recommended resources and target resources is not very good, which leads to the low correlation between recommended courses and target resources. This paper designs a method of elderly nursing teaching resources recommendation based on Internet of things technology. Integrate interactive data and model data to browse course feature data. The correlation between recommended resources and target resources is compared, and the correlation between browsing function data and recommended resources is calculated. According to the degree of feature association, the weight of recommended resources is calculated. Through the weight set sorting, with the help of Internet of things technology to rearrange the recommended order of curriculum resources, complete the design of elderly nursing teaching resources recommendation method based on Internet of things technology. Through experimental analysis: the highest correlation between recommended courses and target resources is 72%. The results show that the method is more perfect.
