基于RPA技术的优惠商品信息实时收集平台研究
Research on Real-time Collection Platform for Preferential Product Information Based on RPA Technology
黄英迪 1陈立涛 1梁通达1
作者信息
- 1. 桂林电子科技大学计算机与信息安全学院,广西 桂林 541004
- 折叠
摘要
随着电子商务的蓬勃发展和各种购物平台的涌现,商品信息的数量和种类呈现爆炸式增长,给用户带来了巨大的信息搜索压力.面对海量的商品数据,用户在网购时获取商品信息的效率不高,并在比对商品价格时耗费大量的精力,为此文章提出一种基于RPA技术的优惠商品信息实时收集平台,采用RPA机器人流程自动化技术实时抓取各个购物平台的商品信息(价格、优惠信息和用户评价等),并进行信息整合和数据可视化,从而为用户提供更多的选择和参考,帮助他们做出明智的购物决策,极大地提升了用户的购物体验和满足感.
Abstract
With the booming development of E-commerce and the emergence of various shopping platforms,the quantity and variety of product information are showing explosive growth,bringing huge information search pressure to users.Faced with massive product data,users have low efficiency in obtaining product information during online shopping and spend a lot of energy in comparing product prices.Therefore,this paper proposes a real-time collection platform for preferential product information based on RPA technology.RPA robot process automation technology is used to capture product information(price,preferential information,and user feedback)from various shopping platforms in real time,and information integration and data visualization are carried out,thus providing users with more choices and references,helping them make wise shopping decisions,which greatly enhances their shopping experience and satisfaction.
关键词
RPA/优惠商品信息实时收集平台/流程自动化/购物决策Key words
RPA/real-time collection platform for preferential product information/process automation/shopping decision引用本文复制引用
基金项目
自治区级大学生创新创业训练计划立项项目(2022)(S202210595354X)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据