基于协同过滤的高校推荐选课系统的设计与实现

Design and Implementation of College Course Recommendation Selection System Based on Collaborative Filtering

为了克服学生在选课过程中的盲目性,高校在考虑学生专业、偏好以及学习程度等方面的基础上,普通使用选课系统为学生推荐适用课程.但目前的高校选课系统中缺乏个性化课程、选课效率过低,本文提出了一种基于协同过滤的高校推荐选课系统的设计与实现.经过实验表明,该系统完全能够解决选课系统的个性化推荐问题,在增强课程资源利用率的基础上,极大的调动了学生的学习兴趣,并进一步提高了高校学生的选课质量.

To overcome the blindness in the selection course,the unviversity uses the course selection system to recommend the application course based on the majors, preferences and learning degrees. Now the course elctection system lacks personalized course with low efficiency. This paper presents the design and implementation of college course recommendation selection system based on collaborative filtering. The experiment shows that the system can completely solve the recommendation problem of course selection system, enhance the utilization of curriculum resources, greatly stimulate students＂ learning interest, and further improve the quality of college student enrollment.