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New Technology of Library and Information Service  2009, Vol. 25 Issue (7-8): 93-96    DOI: 10.11925/infotech.1003-3513.2009.07-08.18
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Automatic Extraction of Job Listing Page Link Information in Job Web Station
Fang Hong1    Lv  Taizhi2
1(Department of Information Engineering, Jiangsu Marine Institute, Nanjing 211170,China)
2(School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,China )
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In this paper,the URL clustering and JavaScript interpreting technologies are applied to extract the job and next page links in the job listing pages automatically. The experiment proves  the technologies are useful.

Key wordsURL clustering      Listing page      Information extraction      Seeking job     
Received: 02 June 2009      Published: 25 August 2009


Corresponding Authors: Fang Hong     E-mail:
About author:: Fang Hong,Lv Taizhi

Cite this article:

Fang Hong,Lv Taizhi. Automatic Extraction of Job Listing Page Link Information in Job Web Station. New Technology of Library and Information Service, 2009, 25(7-8): 93-96.

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