Classification Method of Aerobics Course Online Teaching Resources Based on Artificial Intelligence Technology

Table 1

Research status of personalized recommendation mechanism.

Existing personalized recommendation mechanism	Basic introduction
System	The system mainly uses collaborative filtering technology to generate recommendation of learning resources according to learners’ evaluation
Intelligent recommendation mechanism of self-evolution in Saskatoon University	The recommendation mechanism has a wide range of applications. It can actively analyze the feedback behavior between learners and resources, and obtain learning resources from the Internet to recommend to learners.
ETEC of the University of the Netherlands	The purpose of this study is to find potential learning activities and generate recommendations suitable for learners
Personalized virtual learning environment (PLVE)	The system adopts the recommendation mechanism of learning strategies. The main research still focuses on the construction of conceptual model, and does not involve practice and verification.