College Students' Innovation and Entrepreneurship Resources Recommendation Based on Collaborative Filtering and Recommendation Technology

Abstract

The 21st century is the era of big data. With the soaring of user data index, information data will be more diversified and complex. This is an era full of a lot of information data. Therefore, when we want to get valuable information, we have to spend a lot of time and energy to filter the accuracy and adaptability of information, which can be improved by personalized recommendation algorithm, such as collaborative filtering recommendation technology. Innovation and entrepreneurship is a project to train students' ability to think and solve problems independently, which is the frontier of innovation in Colleges and universities. Through continuous improvement and improvement, we can form a college students' innovation and entrepreneurship resource recommendation scheme, which can help college students choose more suitable projects. First of all, this paper analyzes the current situation of College Students' innovation and entrepreneurship resources recommendation. Then, this paper proposes an algorithm of collaborative filtering recommendation technology.