Personalized Recommendation System of Innovation and Entrepreneurship Course Based on Collaborative Filtering

Abstract

This article will use the process and structure of personalized recommendation to design a recommendation system suitable for innovation and entrepreneurship course platform. It also conducts a comparative analysis of the existing innovation and entrepreneurship platforms to clarify the characteristics and attributes of the innovation and entrepreneurship platforms. Through comparative research on the use process, application scenarios, advantages and disadvantages of traditional personalized recommendation algorithms. On the basis of making full use of the characteristics of the innovation and entrepreneurship platform, a collaborative filtering algorithm was selected to complete the recommendation system design.