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基于大数据的新能源汽车个性化售后服务推荐系统
引用本文:廖甜汇,黎飞,张森,张亮. 基于大数据的新能源汽车个性化售后服务推荐系统[J]. 时代汽车, 2021, 0(6): 181-182
作者姓名:廖甜汇  黎飞  张森  张亮
作者单位:上汽通用五菱汽车股份有限公司技术中心
基金项目:广西创新驱动发展专项资金资助项目(桂科AA18242039);柳州市科学研究与技术开发计划资助项目(2018AD20501)。
摘    要:国内新能源汽车售后服务市场起步较晚,用户满意率不高,服务体系亟待完善,在大数据的时代背景下,跳脱出固有的被动服务的思维模式,借助信息化的强大力量刻画用户画像,构建符合时代发展和用户个性化需求的主动推荐售后服务系统,由用户主动预约向主动预约用户转变,扭转我国新能源汽车售后服务市场态势,将成为我国新能源汽车售后服务...

关 键 词:新能源汽车  个性化推荐  大数据  售后服务

Personalized After-sales Service Recommendation System for New Energy Vehicles based on Big Data
Liao Tianhui,Li Fei,Zhang Sen,Zhang Liang. Personalized After-sales Service Recommendation System for New Energy Vehicles based on Big Data[J]. , 2021, 0(6): 181-182
Authors:Liao Tianhui  Li Fei  Zhang Sen  Zhang Liang
Abstract:The domestic new energy vehicle after-sales service market started late,the customer satisfaction rate is not high,and the service system urgently needs to be improved.Under the background of the big data era,the purpose of the article is to break the inherent passive service thinking mode and use the powerful power of information to portray users’portrait,and construct an active recommendation after-sales service system that meets the development of the times and the individual needs of users,and transform fromusers actively making reservationstoactively making reservations for users,so as to reverse China's new energy vehicle after-sales service market,which will become a major development trend of China's new energy vehicle after-sales service.
Keywords:new energy vehicles  personalized recommendation  big data  after-sales service
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