面向产品设计改进的顾客偏好分析与预测
Customer preference analysis and prediction for product design improvement
王克勤 1王志义 1李靖 1同淑荣1
作者信息
- 1. 西北工业大学管理学院,陕西 西安 710072
- 折叠
摘要
针对顾客产品偏好快速变化对企业分析和预测顾客偏好能力的要求,提出一种面向产品改进的顾客偏好分析与预测方法,首先构建长短期记忆网络模型,预测产品设计迭代期间的情感值和重要度,并计算预测准确度;然后通过基于产品特征情感变化模式的产品设计改进模型判断各个特征的变化模式,明确待改进的产品特征及改进优先级;最后以DJI Mini 2无人机的在线评论为例验证了方法的有效性.
Abstract
To meet the ability requirements of the enterprises to be able to analyze and predict customer preferences with the rapid change of customer preference for products,a customer preference identification and prediction meth-od for product improvement was proposed.The Long Short Term Memory(LSTM)model was constructed to pre-dict the emotion value and importance during product design iteration,and the prediction accuracy was calculated.Through the product design improvement model based on the emotional change mode of product features,the change mode of each feature was judged,and the product features to be improved and the improvement priority were defined.Finally,the online review of DJI Mini 2 UAV was taken as an example to verify the effectiveness of the method.
关键词
在线评论/产品设计改进/顾客偏好/偏好预测Key words
online reviews/product design improvement/customer preference/preference prediction引用本文复制引用
基金项目
国家自然科学基金青年基金资助项目(72101204)
陕西省自然科学基金资助项目(2022JM-421)
出版年
2024
NETL
NSTL
万方数据