作者机构：
Department of Computer, Central China Normal University, Wuhan,China;TCL Yunchuang Technology Co., Ltd., Guangdong, China
摘要：
This paper presents a personalized course recommended algorithm based on the hybrid recommendation. The recommendation algorithm uses the improved NewApriori algorithm to implements the association rule recommendation, and the user-based collaborative filtering algorithm is the main part of the algorithm. The hybrid algorithm adds the weight to the recommendation result of the user-based collaborative filtering and association rule recommendation, implementing a hybrid recommendation algorithm based on both of them. It has solved the problem of data sparsity and cold-start partially and provides a academic reference for the design of high performance elective system. The experiment uses the student scores data of a college as the test set and analyzes results and recommended quality of personalized elective course. According to the results of the experimental results, the quality of the improved hybrid recommendation algorithm is better.
作者机构：
[杨从平] Department of Economics and Management, Guangxi Normal University for Nationalities, Chongzuo, 532200, China;[郑世珏; 党永杰; 杨从平; 杨青] School of Computer, Central China Normal University, Wuhan, 430079, China
期刊：
PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON MECHANICAL, INDUSTRIAL, AND MANUFACTURING TECHNOLOGIES (MIMT 2010),2010年:125-130
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.
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.
关键词：
Reinforcement learning;Association rules;Topological graph;Recommendation Systems data mining
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 association rule Recommendation feasibility and rationality.
期刊：
2009 FIFTH INTERNATIONAL CONFERENCE ON SEMANTICS, KNOWLEDGE AND GRID (SKG 2009),2009年:392-395
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.
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)
会议时间：
2009-10-12
会议地点：
珠海
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
关键词：
reinforcement learning;association rules;topological graph;Recommendation Systems data mining
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 association rule Recommendation feasibility and rationality.
摘要：
Nowadays the utility of domain ontologies is widely acknowledged in many area, such as information systems, software engineer. natrue language processing, artificial intelligence, electronic commerce and so on. Ontologies are enable to fulfill knowledge appearance, information retrieval and search. However, there still exists several drawbacks that must be resolved before ontologies become practical and useful tools. A critical issue is the ontology mapping. This matching process will directly influence the precision and recall of information retrieval among several different ontologies. In this paper, we propose an approach of ontology matching and an ontology matching algorithm based on description logic system through analyzing the characteristic of description logics, including definitions of syntax, semantics and basic reasoning services. and finally demonstrate the practicality of this ontology matching method between two concrete Book-System ontologies.
