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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;Zhu, Li;Sun, JunLi
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:
2009 FIFTH INTERNATIONAL CONFERENCE ON SEMANTICS, KNOWLEDGE AND GRID (SKG 2009)
年:
2009
页码:
392-395
会议名称:
Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)
会议论文集名称:
Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)论文集
会议时间:
2009-10-12
会议地点:
珠海
会议赞助商:
中科院计算所
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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