Structuring Job Search via Local Grammars

S. Bsiri, M. Geierhos, C. Ringlstetter, Research in Computing Science 33 (2008) 201–212.

Journal Article | Published | English
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Abstract
The standard approach of job search engines disregards the structural aspect of job announcements in the Web. Bag-of-words indexing leads to a high amount of noise. In this paper we describe a method that uses local grammars to transform unstructured Web pages into structured forms. Evaluation experiments show high efficiency of information access to the generated documents.
Publishing Year
Journal Title
Research in Computing Science
Volume
33
Page
201-212
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Cite this

Bsiri S, Geierhos M, Ringlstetter C. Structuring Job Search via Local Grammars. Research in Computing Science. 2008;33:201-212.
Bsiri, S., Geierhos, M., & Ringlstetter, C. (2008). Structuring Job Search via Local Grammars. Research in Computing Science, 33, 201–212.
@article{Bsiri_Geierhos_Ringlstetter_2008, title={Structuring Job Search via Local Grammars}, volume={33}, journal={Research in Computing Science}, publisher={National Polytechnic Institute of Mexico}, author={Bsiri, Sandra and Geierhos, Michaela and Ringlstetter, Christoph}, year={2008}, pages={201–212} }
Bsiri, Sandra, Michaela Geierhos, and Christoph Ringlstetter. “Structuring Job Search via Local Grammars.” Research in Computing Science 33 (2008): 201–12.
S. Bsiri, M. Geierhos, and C. Ringlstetter, “Structuring Job Search via Local Grammars,” Research in Computing Science, vol. 33, pp. 201–212, 2008.
Bsiri, Sandra, et al. “Structuring Job Search via Local Grammars.” Research in Computing Science, vol. 33, National Polytechnic Institute of Mexico, 2008, pp. 201–12.

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