• 论文 •    

基于关联规则的个性化推荐系统

丁振国,陈静   

  1. 西安电子科技大学网络教育学院,陕西西安710071
  • 出版日期:2003-10-15 发布日期:2003-10-25

Individuation Recommendation System Based on Association Rule

DING Zhen-guo, CHEN Jing   

  1. Sch. of Network Education, Xidian Univ., Xi’an710071,China
  • Online:2003-10-15 Published:2003-10-25

摘要: 以数据挖掘中的关联规则理论为基础,从应用的角度出发,设计了一套相关产品推荐系统ARecom,实现了电子购物中的个性化服务。针对直接决定整体算法效率的频繁大项集生成步骤,应用大量的数据,研究比较了三种典型算法,并在此基础上,提出了适合电子商务相关推荐系统的完整的算法模型。

关键词: 关联规则, 个性化, 相关产品推荐

Abstract: Based on the Association Rule theory in data mining technology, a suit of Correlated-Product Recommendation System is designed for the individuation service in e-marketing. By using much correlated data, we study and compare three typical algorithms for generating the frequent item-set that is the most important step for the whole efficiency. At last an integrated algorithm model, which is well suitable for the system in e-commerce,is given.

Key words: association rule, individuation, correlated-product recommendation

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