基于加权关联规则的选课推荐系统的构建  

Construction of learning recommendation system based on weighted association rules

作　　者：王艳[1] 刘双红[1] 李玲玲[1] 

机构地区：[1]郑州航空工业管理学院计算机科学与应用系,河南郑州450015

出　　处：《郑州轻工业学院学报（自然科学版）》2009年第5期44-47,共4页Journal of Zhengzhou University of Light Industry:Natural Science

基　　金：国家863高技术研究发展计划资助项目(2007AA12Z166);河南省高校杰出科研人才创新工程项目(2007KYCX018);河南省教育厅自然科学基础研究计划资助项目(2007510023)

摘　　要：为解决现有选课系统存在的问题,把加权关联规则技术应用到学生选课系统中,构建基于加权关联规则的选课推荐系统.在该系统中增加规则兴趣度阈值用来筛选有趣的规则,提高挖掘效率;并且根据学生选课倾向,提出了选择关注度和课程推荐度的概念,按照课程推荐度大小向学生推荐要选择的课程,使学生选课不再盲目,能选到自己感兴趣的课程,为选择决策提供依据和指导.To solve the problems existing in learning system, A learning guidance system was constrncted based on mining weighted association rules. On one hand, the interest measure threshold is introduced in this system to mine interest rules and improve the performance. On the other hand, the choice attention and course recommendation are put forward in the system according to the tendency of the students. As a result, the students can efficiently select courses based on recommendation which can provide the foundation for their decisions of selecting coureses.

关 键 词：加权关联规则 兴趣度 关注度 选课推荐系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]