文献类型：会议论文

英文题名：Personalized Recommendation System of Innovation and Entrepreneurship Course Based on Collaborative Filtering

作者：Wang, Dongliang[1]; Zheng, Yaming[2]; Liu, Zhixin[1]; Zheng, Wenfeng[3]; Tian, Jiawei[3]; Fan, Xinxin[4]

机构：[1] Shaoxing University, School of Civil Engineering, Shaoxing, China; [2] Malaysia Sarawak, Faculty of Cognitive Sciences and Human Development University, Sarawak, Malaysia; [3] Shaoxing University, School of Life Science, Shaoxing, China; [4] University of Electronic Science and Technology of China, School of Automation, Chengdu, China

会议论文集：Proceedings - 2021 International Conference on Networking Systems of AI, INSAI 2021

会议日期：November 19, 2021 - November 20, 2021

会议地点：Shanghai, China

语种：英文

外文关键词：Curricula - Recommender systems

外文摘要：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. ? 2021 IEEE.