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Ranking with decision tree
Xia, Fen; Zhang, Wensheng; Li, Fuxin; Yang, Yanwu
2008-12-01
发表期刊KNOWLEDGE AND INFORMATION SYSTEMS
卷号17期号:3页码:381-395
文章类型Article
摘要Ranking problems have recently become an important research topic in the joint field of machine learning and information retrieval. This paper presented a new splitting rule that introduces a metric, i.e., an impurity measure, to construct decision trees for ranking tasks. We provided a theoretical basis and some intuitive explanations for the splitting rule. Our approach is also meaningful to collaborative filtering in the sense of dealing with categorical data and selecting relative features. Some experiments were made to illustrate our ranking approach, whose results showed that our algorithm outperforms both perceptron-based ranking and the classification tree algorithms in term of accuracy as well as speed.
关键词Machine Learning Ranking Decision Tree Splitting Rule
WOS标题词Science & Technology ; Technology
关键词[WOS]ORDINAL REGRESSION
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号WOS:000261187000006
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9709
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
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GB/T 7714
Xia, Fen,Zhang, Wensheng,Li, Fuxin,et al. Ranking with decision tree[J]. KNOWLEDGE AND INFORMATION SYSTEMS,2008,17(3):381-395.
APA Xia, Fen,Zhang, Wensheng,Li, Fuxin,&Yang, Yanwu.(2008).Ranking with decision tree.KNOWLEDGE AND INFORMATION SYSTEMS,17(3),381-395.
MLA Xia, Fen,et al."Ranking with decision tree".KNOWLEDGE AND INFORMATION SYSTEMS 17.3(2008):381-395.
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