Website Intelligent Recommendation Based on K-means and Apriori Algorithms
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.
Recommendation Association rules Apriori K-means
Shaohua Zhang Changhua Liu Qiaodan Li
School of Mathematics & Computer Science,Wuhan Polytechnic University,Wuhan,Hubei,China
国际会议
深圳
英文
188-190
2018-01-21（万方平台首次上网日期，不代表论文的发表时间）