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Website Intelligent Recommendation Based on K-means and Apriori Algorithms

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成果类型:
期刊论文、会议论文
作者:
Zhang, Shaohua;Liu, Changhua*;Li, Qiaodan
通讯作者:
Liu, Changhua
作者机构:
[Zhang, Shaohua; Li, Qiaodan; Liu, Changhua] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
通讯机构:
[Liu, Changhua] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Recommendation;Association rules;Apriori;K-means
期刊:
Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
ISSN:
1951-6851
年:
2018
卷:
155
页码:
196-198
会议名称:
International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI)
会议论文集名称:
Advances in Intelligent Systems Research
会议时间:
JAN 21-22, 2018
会议地点:
Shenzhen, PEOPLES R CHINA
会议主办单位:
[Zhang, Shaohua;Liu, Changhua;Li, Qiaodan] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
会议赞助商:
The Science and Engineering Research Center(SERC)
主编:
Bhardwaj, M Talu, S Rojas, AL
出版地:
29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
出版者:
ATLANTIS PRESS
ISBN:
978-94-6252-483-5
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
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 ...

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