Design of recommendation system of innovation and entrepreneurship resources based on collaborative filtering

With the increasing emphasis on innovation and entrepreneurship education in colleges, how to efficiently provide students with personalized recommendation of innovation and entrepreneurship resources has become a key issue. In view of the low recommendation rate of traditional university library management system, which cannot recommend books according to users' interests, this paper completes the design of university innovation and entrepreneurship resource recommendation system based on SSH framework, using B/S architecture mode and Java programming language, through collaborative filtering recommendation algorithm. Experimental results show that the proposed method outperforms the other two methods in terms of recall and running time, and can effectively improve the accuracy of recommendation results and the efficiency of the system. The design of the system considers the security, simplicity, and scalability to meet the diverse needs of teachers and students in colleges and universities.