Abstract
Due to the variety and quantity of nursing multimedia teaching resources, the resource recommendation method has the problem of low recall rate. To this end, a mobile learning-based nursing multimedia teaching resource recommendation method was designed. First of all, this paper identifies the law of learning needs, annotates the keywords of teaching resources, and collects the data of students’ learning records, so as to improve the recall rate of the recommendation results. Build a user interest preference model, improve the nursing multimedia teaching resource recommendation process, and optimize the mobile learning personalized recommendation model. The experimental results show that the recall rates of the proposed method and the other two methods are 78.627%, 70.615% and 70.200%, respectively, indicating that the proposed method has a high recall rate.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, H., Sang, Y. (2023). Personalized Recommendation Method of Nursing Multimedia Teaching Resources Based on Mobile Learning. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_20
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DOI: https://doi.org/10.1007/978-3-031-28867-8_20
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