摘要
随着机器学习技术的不断发展,机器学习在社会各个邻域的应用也越来越广泛。在校园图书馆中使用机器学习的方法来实现对学生借阅方面的画像,把握学生阅读规律,精确地向不同的学生推荐其感兴趣的书籍,从而提升学生的学习兴趣就越发显得重要。鉴于此,提出使用机器学习中Apriori模型的方法来分析不同学生的阅读兴趣,并推荐其可能感兴趣的书籍。实验结果表明,所提方法能较准确地分析出学生的借阅兴趣,可作为图书馆书籍推荐分析的有效依据。
With the development of machine learning technology, it is more and more widely used in every neighborhood of society.It is more and more important to recommend books of interest to different students to promote their interest in learning. Therefore, a method of using Apriori model in machine learning to analyze the reading interest of different students is proposed. The experimental results show that the proposed method can accurately analyze the students' interest in borrowing books and can be considerate as an effective basis for library books recommendation analysis.
出处
《电脑知识与技术》
2018年第4X期211-212,共2页
Computer Knowledge and Technology
基金
基于云平台与一卡通大数据的图书推荐的研究与应用(18CZ0047)
