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[1]许广林,刘念祖,冯嘉礼,等.掘客投票算法的属性论方法[J].智能系统学报,2009,4(2):118-121.
　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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掘客投票算法的属性论方法

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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 4 期数: 2009年第2期页码: 118-121 栏目: 学术论文—人工智能基础出版日期: 2009-04-25

Title:: A voting algorithm based on attribute theory for social news sites

文章编号:: 1673-4785(2009)02-0118-04

作者:: 许广林¹，刘念祖¹，冯嘉礼²，刘永昌²; 1.上海立信会计学院数学与信息学院，上海201620；
2.上海海事大学信息工程学院，上海200135

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

关键词:: 投票算法; 属性论方法; 转换程度函数; 评估模型

Keywords:: voting algorithm; method of attribute theory; conversion degree functions; evaluating model

分类号:: TP18

文献标志码:: A

摘要:: 掘客类型网站的技术核心是投票算法,而如何能够客观和公正地反应投票结果是投票算法的核心.针对目前掘客类网站中投票算法过于简单，建立了一套投票算法指标体系，并且提出了基于属性论方法的投票算法，为掘客类网站以及其他类型的投票网站提供了一种新的投票算法.给出实际例子的投票结果更公正和客观，从而有效地论证了算法的合理性.

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.

参考文献/References:: ［1］LVY.Collective intelligence: mankind’s emerging world in cyberspace plenum［M］.New York：Plenum Trade, 1997：3739.
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备注/Memo

收稿日期：2008-12-16.
基金项目：上海市本级财政部门预算资助项目(1138IA0005).
作者简介：
许广林，男，1974年生，讲师，主要研究方向为机器学习、模式识别和风险评估.发表学论文10余篇.
刘念祖，男,1955年生,教授,主要研究方向为数据库、数据挖掘.  
冯嘉礼，男，1948 年生，教授、博士生导师.中国人工智能学会理事、中国人工智能学会机器学习专业委员会副主任委员、中国管理科学研究院思维科学研究所学术顾问.

更新日期/Last Update: 2009-05-04

掘客投票算法的属性论方法 PDF下载HTML

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掘客投票算法的属性论方法

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