Design of Computer Wireless Network Teaching System based on Collaborative Filtering Optimization Algorithm

In contemporary times, the traditional computer wireless network teaching system is faced with difficulties such as backwardness and limitations, such as the lack of personalized recommendation and the lack of classroom interaction. In order to improve the shortcomings of the traditional system, so that it can meet the needs of today's society, this paper designed a new computer wireless network teaching system based on collaborative filtering optimization algorithm, that is, the traditional teaching system is added to the personalized recommendation module, the module mainly uses collaborative filtering optimization algorithm, the main role is through the analysis of students' behavior and preferences and other information. Analyze the data, and then recommend courses or learning materials that may be of interest to students, so as to strengthen the personalized training of students, so as to help students improve their ability. Through the experiments in this article, it is concluded that the recommendation error rate of the computer wireless network teaching system based on collaborative filtering optimization algorithm is obviously lower than that of the traditional teaching system, and the system can run stably and efficiently in different operating systems. At the same time, it has a good application prospect and market potential in online education and distance learning.