CASIA OpenIR  > 09年以前成果
Ranking with decision tree
Xia, Fen; Zhang, Wensheng; Li, Fuxin; Yang, Yanwu
AbstractRanking 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.
KeywordMachine Learning Ranking Decision Tree Splitting Rule
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000261187000006
Citation statistics
Cited Times:25[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
Recommended Citation
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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