基于协同过滤算法的个性化课程推荐服务

Personalized Course Recommendation Service Based on Collaborative Filtering Algorithm

学分制背景下的选课制,更多的是以一种硬性的要求规定了学生必须以相对灵活的方式进行课程选择。虽然这种要求在一定程度上结合了作为选课主体的学生的意愿,但在发挥学生选课兴趣的主观能动性方面考虑不足。本文基于文献调查法,希望通过建立选课问答社区实现对用户偏好的分析,为广大学生提供个性化课程推荐的服务,以此建立一套更有效、更多元、更契合学生发展方向的选课系统。

The course selection system in the context of the credit system is more of a rigid requirement that students must choose courses in a relatively flexible manner.Although this requirement combines the will of the students who are the subject of the course selection to a certain extent,the subjective initiative of the students is insufficiently considered in course selection.Based on the literature survey method,this paper hopes to establish a course-based question-and-answer community to analyze the user’s preference and provide a personalized course recommendation service for the students to establish a more effective,more diverse and more suitable course selection system.