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Capability model for case-based reasoning in collaborative commerce environment

机译：协作商务环境中基于案例的推理能力模型

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Collaborative commerce (c-commerce) has become an innovative business paradigm that helps companies achieve high operational performance through inter-organizational collaboration. This paper presents an effective case-based reasoning (CBR) capability model for solution selection in c-commerce applications, as CBR is widely used in knowledge management and electronic commerce. Based on the case-based competence model suggested by Smyth and McKenna, a directed graph was used to represent the collaborative reasoning history of CBR systems, where information of reasoning process ability was extracted. Experiment was carried out on a travel dataset. By integrating case-based competence and reasoning process ability, the capability is more suitable to reflect the real ability of CBR systems. The result shows that the proposed method can effectively evaluate the capability of CBR systems and enhance the performance of collaborative case-based reasoning in c-commerce environment.
机译：协作商务（c-commerce）已成为一种创新的业务范例，可帮助企业通过组织间的协作来实现较高的运营绩效。本文介绍了一种有效的基于案例的推理（CBR）能力模型，用于C商务应用程序中的解决方案选择，因为CBR已广泛应用于知识管理和电子商务中。基于Smyth和McKenna提出的基于案例的能力模型，使用有向图表示CBR系统的协作推理历史，并从中提取推理过程能力的信息。实验是在旅行数据集上进行的。通过整合基于案例的能力和推理过程能力，该能力更适合反映CBR系统的真实能力。结果表明，所提出的方法可以有效地评估CBR系统的能力，并提高在c商务环境中基于案例的协作推理的性能。

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