摘要
传统多维客户画像精准构建方法构建效果差,因此文章提出基于汽车驾驶行为的多维客户画像精准构建方法。文章建立了多维客户多源特征体系,构建多视角融合模型,基于汽车驾驶行为进行多维客户画像精准构建。实验结果表明,该研究方法用户画像构建效果更好,有一定的应用价值。
The traditional method of accurately constructing multi-dimensional customer profiles has poor construction results.A precise method for constructing multidimensional customer profiles based on automotive driving behavior is proposed.A multi-dimensional customer multi-source feature system is established,a multi perspective fusion model is constructed,and a multi-dimensional customer profile based on car driving behavior is accurately constructed.The experimental results show that this research method has better user profile construction effect and certain application value.
作者
张文
Zhang Wen(Xi’an Vocational University of Automobile,Xi’an 710600,China)
出处
《无线互联科技》
2024年第8期87-89,共3页
Wireless Internet Technology
基金
2022年度校长科研基金项目,项目名称:数字化背景下汽车用户画像构建对用户情境体验的作用研究,项目编号:2022KJ020。
关键词
汽车驾驶行为
多维客户
画像构建
构建方法
car driving behavior
multi-dimensional customer
portrait construction
construction method