[1]XU Guang-lin,LIU Nian-zu,FENG Jia-li,et al.A voting algorithm based on attribute theory for social news sites[J].CAAI Transactions on Intelligent Systems,2009,4(2):118-121.
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A voting algorithm based on attribute theory for social news sites

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 2 Page number: 118-121 Column: 学术论文—人工智能基础 Public date: 2009-04-25
Title:
A voting algorithm based on attribute theory for social news sites
Author(s):
XU Guang-lin1;  LIU Nian-zu1;  FENG Jia-li2;  LIU Yong-chang2
1. College of Mathematics and Information, Shanghai Lixin University of Commerce, Shanghai 201620, China;
2. College of Information Engineering, Shanghai Maritime University, Shanghai 200135,China
Keywords:
voting algorithm;  method of attribute theory;  conversion degree functions;  evaluating model
CLC:
TP18
DOI:
-
Abstract:
A key technology for a social news sites is the voting algorithm, which must objectively and fairly calculate voting results as its core requirement. In order to make the voting algorithms of social news sites more trustworthy, a new indexing system and new voting algorithm based on the methods of attribute theory was developed. An actual application involving such an algorithm was then developed, and it was discussed in the paper.
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Last Update: 2009-05-04

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