Abstract
Personalized learning system can provide users with the most valuable learning resource to them through intelligent recommendation models and algorithms. This paper proposed the classical sequence analysis algorithms, and the Prefixspan algorithm is validated through distance learning platform data. In the event that the minimum support threshold is between 0.003 to 0.004%, test data shows that the performance of the algorithm's accuracy rate is relatively stable and the recommendation effect is satisfactory.
Highlights
The distance learning platform for farmers was set up by Beijing Academy of Agriculture and Forestry Sciences, which includes front broadcast platform, learning site, learning resource library and learning management system
It is very difficult for farmers to get their interested learning resources in the platform
The paper researched personalized learning system based on the massive user behavior data in the distance learning platform, and carried out the research of distance learning systems personalization algorithm for sequence analysis
Summary
The distance learning platform for farmers was set up by Beijing Academy of Agriculture and Forestry Sciences, which includes front broadcast platform, learning site, learning resource library and learning management system. It is possible for farmers to learn in low cost, and they can get agriculture technology knowledge ASAP. The number of registered users reached more than forty thousand, and the video teaching resources has reached more than 9,000 pieces. It is very difficult for farmers to get their interested learning resources in the platform. Personalized learning system was developed to solve this problem, which can analyze the user's behavior of individual , provide them with useful information. The paper researched personalized learning system based on the massive user behavior data in the distance learning platform, and carried out the research of distance learning systems personalization algorithm for sequence analysis
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