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New Technology of Library and Information Service  2003, Vol. 19 Issue (5): 51-54    DOI: 10.11925/infotech.1003-3513.2003.05.17
Current Issue | Archive | Adv Search |
The Intelligent Trend of Search Engine and the Research of Internet Information Resources Retrieval
Zhao Hong
(Library of Hainan Teachers College, Haikou 571158, China)
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Abstract  

In the research the Internet information resources retrieval, the study of search engine enjoys a great significance. It is based on the analysis of the current search engine that this article expounds its intelligent development. The existing information resources retrieval method and information service pattern will be essentially altered.

Key wordsSearch engine      Internet information resources      Information retrieval/smart     
Received: 27 May 2003      Published: 25 October 2003
ZTFLH: 

G354

 
Corresponding Authors: Zhao Hong   
About author:: Zhao Hong

Cite this article:

Zhao Hong. The Intelligent Trend of Search Engine and the Research of Internet Information Resources Retrieval. New Technology of Library and Information Service, 2003, 19(5): 51-54.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2003.05.17     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2003/V19/I5/51


[1]傅欣.代搜索引擎的智能化趋势研究.现代图书情报技术,2002,(6):28-30

[2]张汛涞.搜索引擎的设计剖析.计算机工程与科学,2002,(4):18-20

[3]王进孝.搜索引擎与网络信息资源检索研究.情报理论与实践,2002,(4):289-292

[4]邓成剑.WWW多媒体搜索引擎研究.图书情报知识,2003,(1):51-53

[5]吴丹.搜索引擎的智能化研究.情报理论与实践,2002,(4):293-295

[6]焦微玲.论提高中文搜索引擎质量的途径.情报科学,2002,(1):100-102

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