DocumentCode
472477
Title
Using Hybrid Algorithm for Automatic Recommendation Service
Author
Wu, Yanwen ; Huang, Zhen ; Gong, Zhiqiang
Author_Institution
Huazhong Normal Univ., Wuhan
fYear
2008
fDate
23-24 Jan. 2008
Firstpage
396
Lastpage
399
Abstract
A hybrid algorithm based on decision tree and BP network is presented in the paper, which is applied to Automatic Recommendation service. We apply decision tree to mine the behavior pattern of initial learning capability of students as well as get learning state of users based on BP neural network to. Then the personalized study pattern will be formed according to the status of students. Finally, for users which course will be studied is shown automatically.
Keywords
backpropagation; data mining; decision trees; pattern recognition; BP network; BP neural network; automatic recommendation service; behavior pattern mining; decision tree; hybrid algorithm; personalized study pattern; Association rules; Classification tree analysis; Clustering algorithms; Data mining; Decision trees; Information entropy; Information technology; Neural networks; Testing; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location
Adelaide, SA
Print_ISBN
978-0-7695-3090-1
Type
conf
DOI
10.1109/WKDD.2008.142
Filename
4470422
Link To Document