The Design And Implementation Of Personalized Recommendation Course Selection System Based On Collaborative Filtering Recommendation Algorithms

With the rapid development of economy,our country has ushered in the information age.Meanwhile,information-related technologies are becoming more and more mature and developing rapidly.However,the increasing amount of information has also led to a variety of problems in our lives.There are too many sharing resources on the Internet,which makes it difficult for users to peel off redundancy and find the information they really need.Therefore,search engines and recommendation systems emerge as the times require.Search engines can help users find the information they need directly faster.Recommendation systems can personalize the resources they are interested in to the users according to their preferences and tastes.Although it is difficult for users to express their real needs clearly in most cases,their potential needs are excavated through the recommendation system.Therefore,a recommendation system that can understand the information of users' needs is very important.In the daily teaching industry of colleges and universities,the process of informationization is also constantly advancing the course selection system,which can not only be used as a part of the daily education and teaching of the education industry,but also enable students to clearly understand the focus of a particular course in the course of course selection;at the same time,it can also enable students to make better independent choices and clear the direction of self-development,so the course selection system is indispensable.? Therefore,the course selection system should be able to push for students,recommend courses that they are really interested in,so that each student can choose and take courses that they like and really need.This paper designs and implements a personalized recommendation system for course selection system based on Collaborative Filtering Recommendation Algorithm and mainstream SSM framework in the industry.This recommendation system can view the course browsing records,course browsing habits and even browsing preferences of students' users through the page side,and recommend the course resources that students may be interested in to the students' users or even other students' users according to the collaborative filtering algorithm.At the same time,this recommendation system applies user-based collaborative filtering algorithm,which enables students to choose courses independently,and make subjective evaluation of the course after the course is selected and finished,so as to be more accurate in the content recommended by the system.Therefore,this course recommendation system provides a good solution for personalized recommendation of actual teaching resources.