Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things.

ABSTRACT: To improve the teaching effect of western music history, the curriculum reform of history education needs to be promoted under the background of the Internet of Things (IoT). At first, a discussion is made on the characteristics of history course, which is combined with the characteristics of teaching data easy to collect under the background of IoT. An analysis is conducted on the related theory of educational data mining. Then, the concept of personalized recommendation is proposed based on deep learning (DL) algorithm. Finally, online and offline experiments are designed to verify the performance of the algorithm from review and investigation, smoothness, and participation of difficulty. The research results show that in terms of offline recommendation accuracy, the average record lengt

SUBMITTER: Yang Z 

PROVIDER: S-EPMC8791487 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature