智能系统学报Issue(3)：369-375,7.DOI:10.3969/j.issn.1673-4785.201409045
北京大学课程推荐引擎的设计和实现
Design and implementation of the course recommendation engine in Peking University
摘要
Abstract
In order to provide a more personalized and humanized service for students and teachers in the manage⁃ment information system, a recommendation engine is applied to the Peking University student course⁃selecting sys⁃tem. The Peking University course recommendation engine is designed and implemented. The improved recommen⁃dation algorithm is a collaborative filtering algorithm on the premises of student attribute classification. The recom⁃mendation is achieved through analyzing different points between course recommendation and commercial recom⁃mendation, analyzing student attribute and improving the calculation method of students' similarity. As the plat⁃form, course⁃selecting system in Peking University recommend courses to 10 682 undergraduate students in the first semester of the 2013-2014 school year. The precision of recommendation results is 34.6%. This system can provide the effective guidance for the students choosing courses, and fill the blank of the system's intelligent and personal⁃ized.关键词
北京大学/课程推荐/推荐引擎/协同过滤/选课系统/管理信息系统Key words
Peking University/course recommendation/recommendation engine/collaborative filtering/elective system/management information systems分类
信息技术与安全科学引用本文复制引用
沈苗,来天平,王素美,彭一明,高志同..北京大学课程推荐引擎的设计和实现[J].智能系统学报,2015,(3):369-375,7.基金项目
北京大学教育发展研究中心2013北大研究课题（ Y＋25）． （）
