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BASED ON THE REINFORCEMENT LEARNING ASSOCIATION RULES RECOMMENDATION STUDY

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成果类型:
期刊论文、会议论文
作者:
Wang, Jinqiao*;Yang, Qing;Sun, JunLi;Zhu, Li
通讯作者:
Wang, Jinqiao
作者机构:
[Wang, Jinqiao; Zhu, Li; Yang, Qing; Sun, JunLi] Huazhong Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
通讯机构:
[Wang, Jinqiao] H
Huazhong Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
语种:
英文
关键词:
Reinforcement learning;Association rules;Topological graph;Recommendation Systems data mining
期刊:
PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON MECHANICAL, INDUSTRIAL, AND MANUFACTURING TECHNOLOGIES (MIMT 2010)
年:
2010
页码:
125-130
会议名称:
International Conference on Mechanical, Industrial, and Manufacturing Technologies
会议时间:
JAN 22-24, 2010
会议地点:
Sanya, PEOPLES R CHINA
会议主办单位:
[Wang, Jinqiao;Yang, Qing;Sun, JunLi;Zhu, Li] Huazhong Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
会议赞助商:
Int Assoc Comp Sci & Informat Technol
出版地:
THREE PARK AVENUE, NEW YORK, NY 10016-5990 USA
出版者:
AMER SOC MECHANICAL ENGINEERS
ISBN:
978-0-7918-5954-4
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Reinforcement learning is an important method of machine learning. This paper using the graph theory to express varieties of knowledge points, which their's relationship is expressed by the graph of topological graph. Applied the Technology of association rule Recommendation to deal with the relationship between these knowledge points, give the corresponding of the recommendation work flow chart. In the paper data tables used to store the knowledge points, the algorithm to demonstrate the technical of ...

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