e-BRM:面向电子易货的多维信誉模型

e-BRM: A Multi-dimensionality Reputation Model for e-Barter

【目的】针对电子易货(e-Barter)这一新兴C2C在线交易模式,提出优于其现有(1,0,–1)评分制的多维信誉模型e-BRM。【方法】e-BRM基于Wilson评分区间计算易货者好评率,基于等概率分布计算易货者好评覆盖率,并通过时效衰减因子、差评惩罚因子、实名认证因子等指标实现对易货者交易值的聚合处理。【结果】e-BRM最终将得到的三元组<好评率,覆盖率,交易值>聚合为统一的易货者信誉度,较(1,0,–1)评分制更能表征易货者真实信誉水平。【局限】在实际应用e-BRM时,可单独设计模型的在线增量更新机制以改善实时性。【结论】仿真实验结果能够证明e-BRM模型的有效性,电子易货交易双方可据此做出合理交易决策以降低交易风险。

[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.