Application of personalized recommendation algorithm based on Sensor networks in Chinese multimedia teaching system

Abstract

The development of modern educational methods and educational technology has promoted the development of Chinese language teaching, and this teaching method has many advantages over traditional teaching. In order to extend and develop the teaching of Chinese language majors, this article designs a multimedia type system based on Chinese language teaching by combining data mining technology and recommendation algorithms. This system requires the use of a series of related technologies in the application process, the core of which is data mining technology. This article analyzes this system from different research perspectives and considers it from the user's perspective to improve and optimize the information resource library. And according to the needs of some users for the Chinese language multimedia system, the functions were added. Finally, the relevant experimental data was weighted and the final results were obtained. It was found that it can greatly improve the efficiency of the original teaching system. After experimental comparison, it was found that the improved teaching system can quickly complete some teaching tasks, improve overall work efficiency, and lay a theoretical and technical foundation for the subsequent establishment of a Chinese language multimedia teaching system.

Keywords

• Data mining
• Personalization
• Recommendation algorithm
• Multimedia teaching