Segmentation of on-line job advertisements

Kwok Wai Cheung, King-Wai Fung, Kwok-Ching Tsui

Research output: Contribution to conferenceConference paper


To build a search engine with high precision and recall rates, more sophisticated techniques are inevitable for on-line document understanding. In this paper, a prototype for segmenting on-line job ads using the pattern matching approach is proposed. To evaluate its effectiveness, it has been used to extract company names and job titles from s set of real job ads with promising results.

Original languageEnglish
Number of pages1
Publication statusPublished - May 2001
EventTenth International World Wide Web Conference - Hong Kong, China
Duration: 1 May 20015 May 2005


ConferenceTenth International World Wide Web Conference

User-Defined Keywords

  • On-line document understanding
  • text segmentation
  • information extraction


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