Website Intelligent Recommendation Based on K-means and Apriori Algorithms

被引：0
作者：
Zhang, Shaohua [1 ]
Liu, Changhua [1 ]
Li, Qiaodan [1 ]
机构：
[1] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China
来源：
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (ACAAI 2018) | 2018年 / 155卷
关键词：
Recommendation; Association rules; Apriori; K-means;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The recommended algorithm is one of the most popular applications of today. Firstly, the original data is cleaned and processed, and then the association rules model and user value analysis model are established in this paper. Secondly, a Apriori algorithm is used to analyze the relationship between user history access records and the user group of K-means algorithm is used to divide value. Finally, the experimental results show that the results of the output of the association rules and the clustering analysis of the user value have some reference significance.
引用
收藏
页码：188 / 190
页数：3
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