期刊文献+

评价提交率和准确率对C2C信誉系统的影响研究 被引量:1

Influence of Submitting Ratio and Precision Ratio of Rating Feedback on C2C Reputation System
下载PDF
导出
摘要 买家的评价反馈是C2C市场信誉系统的基本输入,对信誉系统能否正常工作极其重要。作为评价的两个重要属性,评价提交率和准确率,对信誉系统有着直接影响。以定量分析的方法研究了简单求和模型下提交率和准确率对卖家信誉积分的影响,对复杂模型下的情形进行了讨论,并进行了算例分析。研究表明,同等情况下,提交率的提高在简单求和模型下的改进效果比对复杂模型要好,准确率的提高在复杂模型下的改进效果比简单求和模型要好。在当前的C2C市场环境和基于简单求和模型的信誉系统中,提交率的提高对信誉系统的效果改进更重要,应该着重解决评价反馈不足的问题。 As the basic inputs of reputation system of C2C market,rating feedbacks from buyers are extremely important.Submitting ratio and precision ratio,two important attributes of rating feedback,have a direct effect on reputation system.Quantitative analysis method is used to study the influence of submitting ratio and precision ratio on sellers' reputation score under simple summation model.For complex model,the circumstances are discussed.And this paper gives the example analysis.Research shows that under the same circumstances,the improvement effect of submitting ratio increase under simple summation model is better than that under complex model,while the improvement effect of precision ratio increase under complex model is better than that under simple summation model.In the current C2C market environment and reputation system based on simple summation model,to improve submitting ratio is more important for reputation system's improvement,and should emphatically resolve the problem of insufficient rating feedbacks.
出处 《情报杂志》 CSSCI 北大核心 2011年第8期87-93,99,共8页 Journal of Intelligence
基金 国家自然科学基金重大项目"新兴电子商务参与者行为规律研究"(编号:70890081)
关键词 C2C 信誉系统 评价反馈 提交率 准确率 C2C reputation system rating feedback submitting ratio precision patio
  • 相关文献

参考文献8

  • 1Paul Resnick, Richard Zeckhauser. Reputation Systems: Facilitating Trust in lntemet Interactions [ J ]. Communications of the ACM, CACM,2000:1-7.
  • 2Elizabeth L, Gray A. Trust-Based Reputation Management System[D]. University of Dublin Trinity College,2006.
  • 3淘宝网.评价详情[EB/OL].[2009-02-26].http://rate.taobao.com/user-rate-bb5ccgb5939ec6706c7db3aff744bflbb-buyer-OrSeller 10-receivedOrPosted I - -goodNeutralOrBad I -timeLine I --deta/led I - - ismore I 0 - - showContent f - - currentPage 12 - - auctionld I --lastModified I --snapld 10. htm#RateType.
  • 4Jinhyung Cho,Kwiseok Kwon,Yongtae Park. Q-rater: A Colaborative Reputation System Based on Source Credibility Theory [ J ]. Expert Systems with Applications,2008, 2 (34) :5-6.
  • 5李训,曹国华.基于公平偏好理论的激励机制研究[J].管理工程学报,2008,22(2):107-111. 被引量:61
  • 6新华网.网店刷高信用度动辄花费数千元[EB/OL].[2008-12-26].http://news.xinhuanet.com/interact/2008-12/26/content_10562512.htm.
  • 7Andrew Whitby, Auduu Josang,Jadwiga Induiska. Filtering Out Unfair Ratings in Bayesian Reputation Systems[C]. Autonomous Agents and Multi Agent Systems Conference (AAMAS) New- York,2004.
  • 8张娥,杨飞,汪应洛.网上交易中诚信交易激励机制设计[J].管理科学学报,2007,10(1):64-70. 被引量:28

二级参考文献34

  • 1田厚平,郭亚军.基于可信威胁的群体协商谈判模型及其应用[J].管理科学学报,2004,7(5):9-17. 被引量:6
  • 2阮青松,黄向晖.西方公平偏好理论研究综述[J].外国经济与管理,2005,27(6):10-16. 被引量:22
  • 3龚霁茸,费方域.寻求公平的经济人——相关实验经济学研究综述[J].经济学家,2006(2):32-39. 被引量:12
  • 4Edieal J P,Abraham S,Yaniv V.Managing online auctioins:Current business and research issues[J].Management Science,2003,49(11):1457-1484.
  • 5Internet fraud watch.Available at:http://www.fraud.org/2002intstats.htm,2002.
  • 6Dellarocas C.The digitization of word of mouth:Promise and challenges of online feedback mechanisms[J].Management Science,2003,49(10):1407-1424.
  • 7Resnick P,Zeckhauser R.Reputation systems:Facilitating trust in Internet interactions[J].Communications of the ACM,2000,43(12):45-48.
  • 8Cripps M,Mailath G,Samuelson L.Imperfect monitoring and impermanent reputations[J].Econometrica,2004,72 (2):407-432.
  • 9McDonald C,Slawson V C.Reputation in an Internet auction market[J].Economic Inquiry,2002,40(4):633-650.
  • 10Ba S,Pavlou P A.Evidence of the effect of trust building technology in electronic markets:Price premiums and buyer behavior[J].MIS Quarterly,2002,23(3):243-268.

共引文献87

同被引文献29

  • 1于兆吉,金仲.基于C2C交易流程的在线信誉影响机理研究[J].东北大学学报(社会科学版),2012,14(5):418-421. 被引量:4
  • 2Liu L, Munro M. Systematic analysis of centralized online reputation systems [J]. Decision Support Systems, 2012, 52 (2): 438-449.
  • 3Fouliras P. A novel reputation - based model for e - conunerce [ J ]. Operational Research, 2013, 13 (1): 113- 138.
  • 4Corporation H P. The Reputation Evaluation based on Optimized Hid- den Markov Model in E - commerce [ J ]. Mathematical Problems in Engineering, 2013, 32 (4) : 1437 - 1450.
  • 5Liao H, Zeng A, Xiao R, et al. Ranking reputation and quality in online ratingsystems [J]. Plos One, 2014, 9 (5): http://jour- nal s. plos. org/plosone/article ? i d = 10.1371/j ournal, pone. 0097146.
  • 6Wang Y, Lin K J. Reputation - oriented trustworthy computing in e - conm~erce environments [J]. Intemet Computing, IEEE, 2008, 12 (4) : 55 - 59.
  • 7Kim S, Ha W, Sea J, et al. A method of evaluating trust and repu- tation/'or online transaction [J]. Computing and Informaties, 2015, 33 (5): 1095- 1115.
  • 8Liang W, Yajun G, Mei Q. A reputation- based trust evaluation model for p2p e - commerce [ J]. International Journal Of Distributed Sensor Networks, 2009, 5 (1): 39-39.
  • 9Lin I C, Wu H J, Li S F, et al. A fair reputation system for use in online auctions [J]. Journal of Business Research, 2015, 68 (4): 878 - 882.
  • 10Lin I C, Wu H J, Li S F, et al. A fair reputation system for use in online auctions [J]. Journal of Business Research, 2015, 68 (4): 78 - 882.

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部