摘要
【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.
出处
《现代图书情报技术》
CSSCI
2015年第7期122-130,共9页
New Technology of Library and Information Service
基金
国家自然科学基金项目"面向电子商务协同推荐的新型用户兴趣模型研究"(项目编号:71202165)
四川省哲学社会科学规划项目"基于多维指标的电子商务信誉评价机制研究"(项目编号:SC13C019)的研究成果之一