Design and Construction of Personalized Recommendation Teaching System Under Artificial Intelligence Background

Abstract

Facing the problem of single teaching mode in teaching reform, this paper studies the personalized recommendation teaching system under the artificial intelligence background of sharing teaching resources to improve teaching quality and strengthen students' autonomous learning ability. The system adopts the framework of Springboot + Vue + Mybatis to separate the front end from the back end, and MySQL 8.0.28 is selected to help manage the data. Aiming at the educational demand of information technology, this paper designs and implements a personalized recommendation teaching system under the background of artificial intelligence. This paper introduces the system structure design, the implementation process of collaborative filtering recommendation algorithm CF and other solutions.