Please wait a minute...
New Technology of Library and Information Service  2004, Vol. 20 Issue (1): 46-49    DOI: 10.11925/infotech.1003-3513.2004.01.10
Current Issue | Archive | Adv Search |
Study on the Search Engine of Inktomi
Wang Xiuling
(Information Management Department of Peking University, Beijing 100871,China)
Download: PDF (0 KB)  
Export: BibTeX | EndNote (RIS)      
Abstract  

The author collected and read many Chinese and English materials, hoping that this article can help all the readers acquaint with the Inktomi Corporation and their solutions, as well as the characteristics and the ways to use.

Key wordsInktomi      Search engine     
Received: 14 March 2003      Published: 25 January 2004
ZTFLH: 

TP391.3

 
Corresponding Authors: Wang Xiuling     E-mail: wangxlhn@163.com
About author:: Wang Xiuling

Cite this article:

Wang Xiuling. Study on the Search Engine of Inktomi. New Technology of Library and Information Service, 2004, 20(1): 46-49.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2004.01.10     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2004/V20/I1/46

1中国联通选定美国Inktomi公司内容分发软件建设IDC.中国联通新闻.http://www.cnuninet.com/NewsCenter/unicomnews/020527/01.htm(Accessed Feb.24,2002)
2《中国移动通信集团公司在CMNet一期工程中采用Inktomi公司产品》 http://sh.sina.com.cn (Accessed Feb.24,2002)
3世界主要搜索引擎.http://www.yita.net/cn/webstation-buliding/zyyq.htm(Accessed Aug.12,2003)
4搜索引擎两大收入模式各领风骚.2002-2-18,搜狐IT,
http://www.sowang.com/searchnews/200202018-1.htm.(Accessed Aug.12,2003)
5搜索引擎Inktomi大打“新鲜”牌.March,27,2001.编辑:阿登.http://www.dayoo.com/content/2001-03/27/content93384.htm(Accessed Aug.12,2003)
6Inktomi公司网站.http://www.inktomi.com(Accessed Feb. 2003)
73Com公司(公司)网站.http://search.3com.com(Accessed Feb. 2003)
8美国白宫(政府)网站.http://www.whitehouse.gov/query.html(Accessed Feb. 2003)
9美国哈佛大学(学校)网站.http://search.harvard.edu:8765(Accessed Feb. 2003)
10注册搜索引擎问与答.“企业网络营销专家”网站  网络营销文库.http://www.etop2000.com/w-013.htm(Accessed Aug.12,2003)
11Inktomi开发出新型因特网搜索技术.1999年6月16日互联网周刊 编辑:阿登.http://tech.sina.com.cn/news/internet/1999-06-16/754.shtml(Accessed Aug.12,2003)
12朱堂良.Inktomi开发面向企业信息检索技术.2002年5月16日 网易科技频道.http://tech.163.com/tm/020516/02051663443.html (Accessed Feb.24 ,2003)
13Good For Google Does Not Equal Bad For Inktomi.July,5,2000, SearchEngineWatch网站http://www.searchenginewatch.com/sereport/index.html(Accessed Dec.10,2002)
14Yahoo Renews With Google, Changes Results.October,9,2002 By Danny Sullivan, Editor, SearchEngineWatch网站.
http://www.searchenginewatch.com/sereport/index.html(Accessed Dec.5,2002)

 

[1] Liu Tong,Ni Weijian,Liu Mei. Identifying Terminology from Search Engine Query Logs[J]. 现代图书情报技术, 2016, 32(2): 25-33.
[2] Tong Guoping, Sun Jianjun. User Behavior Analysis Based on Search Engine Log[J]. 现代图书情报技术, 2015, 31(7-8): 80-88.
[3] Wang Xiwei, Zhao Dan, Yang Mengqing, Wei Junwei. Indices and Empirical Research on Search Engine Optimization of the Industry Websites: An Analysis from the Perspective of Information Ecology[J]. 现代图书情报技术, 2015, 31(3): 75-83.
[4] Chen Yong, Li Honglian, Lv Xueqiang. Analysis for the Search Behavior of Web Users[J]. 现代图书情报技术, 2014, 30(12): 10-17.
[5] Zhang Liyi, Chen Mingying. Research on the Sensitivity and Specificity of Search Engines[J]. 现代图书情报技术, 2011, 27(7/8): 41-46.
[6] Wang Jimin, Lilei Mingzi, Zhang Peng. Co-authorship Network Analysis in the Research Field of Search Engine’s Log Mining[J]. 现代图书情报技术, 2011, 27(4): 58-63.
[7] Zhang Hongbin, Cao Yiqin. A New Classifier Design in a Topic Search Engine by Combining Multi-layer Classifier with Naive Bayes Classification Model[J]. 现代图书情报技术, 2011, 27(3): 73-79.
[8] Zhou Zhicheng. Real-Time Search Suggestions Based on the Clustering of the User’ s Query Intent[J]. 现代图书情报技术, 2011, 27(2): 87-93.
[9] Ke Qing, Cheng Ying, Zheng Yanning, Pan Yuntao. Construction of the Usability Evaluation Indicators on Search Engine[J]. 现代图书情报技术, 2011, (11): 24-30.
[10] Jing Jing, Hong Ying, Jiang Yuanyuan, Gao Xiaofeng. Study on Web Retrieval Query Fusion Based on Relevance Feedback[J]. 现代图书情报技术, 2011, 27(1): 57-62.
[11] Guo Shaoyou. Research on Deep Web Surfacing Based on Common Search Engines[J]. 现代图书情报技术, 2010, 26(2): 24-30.
[12] Fu Zhenzhen,Lu Wei. The Search Engine Optimizing Strategy and Evaluation Based on Keywords[J]. 现代图书情报技术, 2009, 25(6): 61-65.
[13] Xu Fang. The Secondary Development of Site Search Based on Common Search Engines[J]. 现代图书情报技术, 2009, 25(5): 81-85.
[14] Miao Chen,Xiaozhong Liu,Jian Qin. Semantic Relation Extraction from Socially-generated Tags:A Methodology for Metadata Generation[J]. 现代图书情报技术, 2009, 3(3): 38-45.
[15] Xu Xin,Huang Zhongqing. Research on the Policy of Vertical Search Engine Application——An Example of 12580 Search Engine[J]. 现代图书情报技术, 2009, 3(2): 62-70.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn