学习资源智能推荐系统的实现

Hui Li, Jun Shi, Shu Zhang, Hu Yun
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引用次数: 6

摘要

随着互联网和信息技术的发展,教育信息化越来越注重利用现代技术为教学提供强大的辅助。学习资源智能推荐是智能教育的关键。本文从两个方面提出了推荐策略。首先是基本推荐策略,包括教学过程、错误记录和学习资源标签记录,以推荐学习资源。二是基于学生的协同过滤算法,利用遗传算法对兴趣度函数进行优化。准确地向学生推荐学习资源,满足学生的学习需求。
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Implementation of intelligent recommendation system for learning resources
With the development of internet and information technology, educational informatization is increasingly focusing on the use of modern technology to provide powerful teaching assistance. Learning resources intelligent recommendation is essential in Smart Education. The paper proposes two aspects of recommendation strategy. First is the basic recommendation strategy, which includes teaching process, error records and learning resources label record to recommend learning resources. Second is the student based collaborative filtering algorithm that uses genetic algorithm to optimize the interest degree function. It will recommend learning resources to students accurately and meet the students' learning needs.
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