Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (22): 33-41.DOI: 10.3778/j.issn.1002-8331.2006-0158

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Review of Recommendation Methods Based on Association Rules Algorithm

JI Wenlu, WANG Hailong, SU Guibin, LIU Lin   

  1. 1.College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
    2.Office of Educational Administration, Inner Mongolia Normal University, Hohhot 010020, China
  • Online:2020-11-15 Published:2020-11-13



  1. 1.内蒙古师范大学 计算机科学技术学院,呼和浩特 010020
    2.内蒙古师范大学 教务处,呼和浩特 010020


The traditional recommendation algorithm has been widely used in various recommendation systems. However, there are still some problems in the recommendation process, such as inability to deal with unstructured data, difficulty in discovering data potential relationship, data sparsity and cold boot. The emergence of association rule technology alleviates the above problems and improves the efficiency of recommendation. The research on the high-quality combination between the special attributes of association rule technology and recommendation algorithm has become a hot topic. The application of association rule technology and different association rule categories of data in traditional recommendation algorithms are reviewed. The advantages and disadvantages of traditional algorithms in the process of recommendation are summarized. Finally, the research of association rule-based recommendation algorithm is summarized and the future development trend is predicted.

Key words: association rules, data mining, recommendation algorithm, collaborative filtering



关键词: 关联规则, 数据挖掘, 推荐算法, 协同过滤