摘要
近年来,物流产业发展迅速,传统物流已经不能满足人们的需求,开始向智慧物流转变。本文将大数据与物流深度融合,设计了一个基于Spark框架的物流服务系统,旨在为用户推荐适宜的物流配送服务,以解决用户配送服务选择困难等问题。
In recent years,the logistics industry has developed rapidly.Traditional logistics can no longer meet people's needs and began to change to intelligent logistics.Traditional logistics can no longer meet people's urgent needs for logistics service quality.This paper deeply integrates big data and logistics,and designs a logistics distribution system based on spark framework,which aims to recommend appropriate logistics distribution services for users,so as to solve the problems such as difficult selection of distribution services.
作者
王义勇
WANG Yiyong(Zhejiang Technical Institute of Economies,Hangzhou Zhejiang 310018,China)
出处
《信息与电脑》
2021年第20期113-115,共3页
Information & Computer
基金
浙江省科技厅软科学项目(项目编号:2016C35036)
浙江经济职业技术学院青年教师科研团队项目(项目编号:JKY2019013)。
