基于情境—需求本体的客户定制需求挖掘

目的 实现客户定制需求精准全面的自动获取.方法 以人机系统设计理论为基础,构建考虑客户情境信息的情境—需求本体模型并运用Apriori算法挖掘两者之间的映射规则.结论 由客户情境信息映射到客户定制需求信息的关联规则,可以实现根据客户情境信息推导出对应的定制需求信息.运用情境—需求本体模型和关联规则挖掘算法可以实现由客户情境信息自动获取规范化的客户定制需求信息,更符合人机系统设计理论.

Customized Demand Mining Based on Situation-Demand Ontology

The work aims to achieve accurate and comprehensive automatic acquisition of customer customization requirements. Based on the theory of man-machine system design, a situation-demand ontology model that took into account customer context information was constructed and the Apriori algorithm was used to mine the mapping rules between them. An association rule is derived from the mapping of customer context information to customized customer demand information, which can be used to derive corresponding customized demand information based on customer situation information. The application of situation-demand ontology model and association rule mining algorithm can automatically obtain standardized customized customer demand information from customer situation information, and the acquired customized demand information is more in line with the theory of man-machine system design.