e-BRM: A Multi-dimensionality Reputation Model for e-Barter
Li Cong1,2, Ma Li3
1 College of Computer Science, Sichuan Normal University, Chengdu 610068, China;
2 Katz Graduate School of Business, University of Pittsburgh, Pittsburgh 15213, USA;
3 Sichuan Normal University Library, Chengdu 610068, China
[Objective] A multi-dimensionality reputation model, named e-BRM, is proposed to surpass (1, 0, -1) scoring system used in e-Barter (one type of emerging online C2C market). [Methods] Based on Wilson score interval and uniform distribution, e-BRM can calculate positive ratio and positive coverage ratio respectively. Meanwhile, time-delay factor, negative punishing factor and real name authentication factor are designed in e-BRM to be further aggregated as barter's transaction value. [Results] The positive ratio, coverage ratio and transaction value are aggregated as barter's reputation degree by e-BRM. The aggregated value can describe barter's true reputation degree better than that of (1, 0, -1) scoring system. [Limitations] For the application of e-BRM, an online updating mechanism should be designed for improving real-time performance. [Conclusions] Simulation experimental results show the validity of e-BRM, thus barters can make reasonable deal decisions based on reputation degree for decreasing transaction risk.
李聪, 马丽. e-BRM:面向电子易货的多维信誉模型[J]. 现代图书情报技术, 2015, 31(7-8): 122-130.
Li Cong, Ma Li . e-BRM: A Multi-dimensionality Reputation Model for e-Barter. New Technology of Library and Information Service, 2015, 31(7-8): 122-130.
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