摘要
随着互联网环境下消费行为与消费观念的不断转变,传统的产品设计方法已不能很好地适应网络世代消费者快速更迭的潮流追求。为了快速获取用户需求及权重并快速转换为功能需求应用于设计场景,提升产品的用户满意度,文章将基于LDA聚类算法与KANO-QFD模型展开研究。首先通过LDA算法模型快速提炼用户群在某一时间段内的话题讨论主题,挖掘用户需求,然后结合KANO-QFD组合模型将用户需求转化为合理的设计功能要求。
With the continuous change of consumer behavior and consumption concept in the Internet environment,the traditional product design method can not meet the trend of rapid change of consumers in the Internet generation.In order to quickly obtain user requirements and weights and quickly convert them into functional requirements for application in design scenarios,and improve product user satisfaction.In this paper,LDA based clustering algorithm and kano-qfd model are studied.Firstly,the LDA Algorithm model is used to quickly extract the topics discussed by the user group in a certain period of time and mine the user needs;Combined with kano-qfd combination model,the user requirements are transformed into reasonable design function requirements.
作者
马焓宸
MA Hanchen(Southwest University of science and technology,Mianyang 621010,China)
出处
《数字通信世界》
2022年第10期51-53,56,共4页
Digital Communication World