基于学习兴趣的个性化推荐算法研究

The Personalized Recommendation Algorithm Based on Interest in Learning

根据高职学校目前选修课的现状,在学生进行选修课选择时,提出一种基于隐式和显式兴趣相结合的学生兴趣个性化推荐算法模型,结合相关推荐技术进行个性化推荐,从而将盲目的选课变得有指导性、有针对性,大大提高了学习效果以及选修课开设的意义,对今后教学改革有一定的指导意义。

According to the current vocational school elective situation, when the students choose electives proposed based on implicit and explicit interest in a combination of student interest personalized recommendation algorithm model, combined with relevant recommendation technology for personalized recommendation, which will elective becomes blind guidance, targeted, greatly improving the learning outcomes as well as the significance of elective courses, teaching reform in the future have a certain significance.