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New Technology of Library and Information Service  2009, Vol. 3 Issue (2): 62-70    DOI: 10.11925/infotech.1003-3513.2009.02.11
Current Issue | Archive | Adv Search |
Research on the Policy of Vertical Search Engine Application——An Example of 12580 Search Engine
Xu Xin   Huang Zhongqing
(Department of Informatics,East China Normal University,ShangHai 200241,China)
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This paper introduces research on vertical search engines, analyzes its features and applications comparing with general search engines. Practical problems such as improving precision ratio, searching speed, information acquisition efficiency and controlling information acquisition quality are also discussed. With the catering vertical search prototype in 12580 information acquisition system as a reference, some application strategies about information acquisition, information updates and information extraction are proposed.

Key wordsVertical search engine      Information acquisition      Information extraction      Internet information     
Received: 26 November 2008      Published: 25 February 2009


Corresponding Authors: Xu Xin     E-mail:
About author:: Xu Xin,Huang Zhongqing

Cite this article:

Xu Xin,Huang Zhongqing. Research on the Policy of Vertical Search Engine Application——An Example of 12580 Search Engine. New Technology of Library and Information Service, 2009, 3(2): 62-70.

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[1] Yahoo People Search[EB/OL].[2008-12-25].
[2] 人立方搜索[EB/OL]. [2008-12-25].
[3] 新型图像搜索引擎问世 搜索不必使用关键词[EB/OL]. [2008-12-25]. 2bbf2214e4895b130582c62cfab.shtm.
[4] Alltheweb[EB/OL]. [2008-12-25].
[5] Sciru[EB/OL]. [2008-12-25].
[6] CiteSeer.IST[EB/OL]. [2008-12-25].
[7] Jon M.K Jeinberg. Authoritive Sources in a HyPerlinkked Environment[C]. In: Proceeding of the ACM-SIAM Symposium on Discrete Algorithms.1998.
[8] 房老大[EB/OL]. [2008-12-25].
[9] 酷讯搜索[EB/OL]. [2008-12-25].
[10] TRS垂直搜索引擎白皮书[EB/OL].[2008-05-08].
[11] 刘畅.综合搜索引擎与垂直搜索引擎的比较研究[J].情报科学,2007(1):97-102.
[12] 罗丽姗.垂直搜索引擎发展概述[J].图书馆学研究,2006(12):68-70,55.
[13] 许鑫,章成志.互联网舆情分析及应用研究[J].情报科学,2008(8):1194-1200,1204.
[14] 杨坚争,李朝平.垂直搜索引擎及其应用[J].电子商务,2006(10):23-25.
[15] 林文清.B2B垂直搜索引擎在信息获取技术中的应用[J].情报杂志,2007(9):120-121.
[16] 王晓伟.垂直搜索引擎若干关键技术研究[D].杭州:浙江大学,2007:7-8.
[17] 钟辉新.基于垂直搜索引擎的个性化信息服务探索[J].情报杂志,2008(1):118-120.
[18] 姚琪.垂直搜索引擎系统的研究与设计[D]. 上海:上海交通大学,2008:24-29.
[19] 肖亮.垂直搜索引擎的研究与实现[D]. 北京:北京交通大学,2007:24-25.
[20] 赫建营,晏海华,金茂忠,等.结合本体筛选和文本挖掘的垂直搜索引擎研究[J].计算机科学, 2008(2):188-190.

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