Based on the Reinforcement learning Association Rules Recommendation study

摘要：

Reinforcement learning is an important method of machine learning. This paper using the graph theory to express varieties of knowledge points, which theirs 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 association rule Recommendation feasibility and rationality.

关键词： reinforcement learning association rules topological graph Recommendation Systems data mining

作者: Jinqiao Wang Qing Yang Li Zhu JunLi Sun

作者单位: Department of Computer Science, Huazhong Normal University, Wuhan, China

会议类型: 国际会议

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)

会议地点: 珠海

会议语种:英文

页码: 392-395

在线出版日期: 2009-10-12（万方平台首次上网日期，不代表论文的发表时间）