DocumentCode
1801399
Title
Clustering Weighted Slope One for distributed parallel computing
Author
Chen, Xing ; Hongfa, Wang
Author_Institution
Dept. of Comput. Inf. & Eng., Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
Volume
3
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
1595
Lastpage
1598
Abstract
Slope One is a simple and widely used collective filter algorithm, it is easy to implemented and works effectively. After Slope One being published, some optimized Slope One algorithms were proposed for improving its accuracy, however these optimized algorithms still overlook some essential drawbacks of Slope One: oversize calculating set. This paper proposes an optimized Slope One which adapts clustering concept to conventional Slope One.
Keywords
parallel programming; pattern clustering; Slope One algorithms; clustering weighted slope; collective filter algorithm; distributed parallel computing; Accuracy; Hadoop; Slope One; clustering; distributed computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182270
Filename
6182270
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