“万物皆可比”——电商售卖比较推荐系统设计  

作　　者：陈榆 鲁亮 陈鹏[1] 石文彪 许乾虎 冯宇杰 

机构地区：[1]安顺学院,贵州安顺561000

出　　处：《科技创新与应用》2023年第25期42-45,共4页Technology Innovation and Application

基　　金：贵州省大学生创新创业训练项目(国家级)专项经费(202210667027)。

摘　　要：目前国内现有的电商平台质量良莠不齐,如何能够通过网络买到性价比高的心仪商品,一直以来都是困扰众多消费者的难题。该系统拟通过网络爬虫技术收集相关数据,并根据数据的类型和特点,利用相应的推荐算法,实现相应的大数据可视化分析平台,从而为广大消费者提供有关网络商品的参考意见和决策依据,并具有一定的实际价值和现实意义。At present,the quality of the existing domestic e-commerce platform is mixed,how to buy cost-effective goods through the network has always been a difficult problem for many consumers.The system intends to collect relevant data through web crawler technology,and according to the types and characteristics of the data,use the corresponding recommendation algorithm to realize the corresponding big data visual analysis platform,so as to provide consumers with reference opinions and decision-making basis for online goods,and has a certain practical value and practical significance.

关 键 词：电商售卖比较系统 Python网络爬虫 可视化分析平台 系统数据库 系统设计 

分 类 号：F724.6[经济管理—产业经济]