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商品评论聚焦爬虫算法设计与实现

Design and implementation of focused crawler algorithms of product reviews

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【作者】 方美玉郑小林陈德人华艺施艳

【Author】 FANG Mei-yu1,2,ZHENG Xiao-lin2,CHEN De-ren2,HUA Yi1,SHI Yan1(1.Institute of Science and Technology,Zhejiang International Studies University,Hangzhou 310012,China;2.College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China)

【机构】 浙江外国语学院科学技术学院浙江大学计算机科学与技术学院

【摘要】 从商品评论抽取算法出发,使用开放应用编程接口调用和链接跟踪的方法,分别设计了基于通用爬虫原理和开放应用编程接口(OpenAPI)的商品评论聚焦爬虫算法。在此基础上实现了淘宝网和京东网商品评论收集程序。最后将两者与通用爬虫算法进行比较,证实了二者的程序设计具有针对性强、数据采集实时性好、易嵌入开发等优点,为实时评论数据采集技术的研究提供了新思路。

【Abstract】 From the product reviews extracting algorithm,focused crawler algorithms of product reviews were designed based on the general crawler principle and the OpenAPI respectively,using OpenAPI call and link tracking method.Then the comments′ collection procedure of taobao.com and 360buy.com were realized.Finally both algorithms are compared with the general crawler algorithm,and some merits who are targeted program,timeliness data collection and easily embedded development were demonstrated.The results provide a good idea for the research on real-time reviews data collecting technology.

【基金】 国家自然科学基金项目(61003254);国家科技支撑计划项目(2008BAH24B03);浙江省自然科学基金项目(Y1080130,Y1101304)
  • 【文献出处】 吉林大学学报(工学版) ,Journal of Jilin University(Engineering and Technology Edition) , 编辑部邮箱 ,2012年S1期
  • 【分类号】TP391.3
  • 【被引频次】18
  • 【下载频次】838
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