基于爬虫技术的图书购买推荐与比价策略研究  

Research on t he Strategy of Book Purchase Recommendation and Price Comparison Based on Crawler Technology

作　　者：卢江 刘文正 LU Jiang;LIU Wenzheng(Tianjin University of Commerce,Boustead College,Tianjin,300384 China)

机构地区：[1]天津商业大学宝德学院,天津300384

出　　处：《科技资讯》2021年第1期214-219,共6页Science & Technology Information

基　　金：2019年天津市大学生创新项目《基于爬虫技术的图书购买推荐与比价策略研究》(项目编号:2019 13660017)。

摘　　要：在大数据背景下,大量数据的堆叠使人们在进行人工提取有效信息时,存在诸多不便。网络爬虫技术可以自动完成网络信息的收集和分析,从而方便用户获得有效信息。该文以图书购买推荐与比价策略的研究为重点,主要介绍了lxml库与Python相关技术,以及图书比价的策略特点,为用户提供更直观的商品指标,同时存储商品信息为后续的进一步优化提供数据源。In the background of big data,the stacking of a large number of data makes it inconvenient for people to extract effective information manually.Web crawler technology can automatically complete the collection and analysis of network information so as to facilitate users to obtain effective information.This paper focuses on the research of book purchase recommendation and price comparison strategy,mainly introduces the lxml and python related technology,as well as the characteristics of book price comparison strategy in order to provide users with more intuitive commodity indicators,while storing commodity information to provide data sources for subsequent further optimization.

关 键 词：爬虫技术 lxml PYTHON 比价策略 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]