Abstract: Aiming at the problem that users who select online curriculum tend to neglect learning progressions, and faults emerge in knowledge, a method of health status perception and recommendation for user curriculum selection based on rule base and Icourse163 platform is proposed. Firstly, the paper constructs the rule base which is based on the relations to learning progressions according to the property of curriculum, and then establishes the model of health status perception for user curriculum selection with collaborative filtering algorithm and realizes personalized curriculum recommendation. The results show that the problem of health status for user curriculum selection in this platform is relatively serious, and therefore the proposed method is feasible and effective for users to solve the problem in the process of learning progressions.

Key words: curriculum recommendation, health status, behavior feedback, collaborative filtering

摘要： 为解决用户在线课程选择过程中忽略课程学习的进阶性，进而导致知识间出现断层的问题，借助“中国大学MOOC”平台，提出了一种基于规则库的用户选课健康状态感知及推荐方法。该方法首先依据课程属性信息构建了基于课程进阶关系的规则库，进而借助协同过滤算法提出了用户选课健康状态感知模型，并实现个性化的课程推荐。实验结果表明：该平台用户选课健康状态问题较为突出，而提出的推荐方法可有效解决用户忽略课程学习的进阶性，进而导致知识间出现断层问题。

关键词: 课程推荐, 健康状态, 行为反馈, 协同过滤