Abstract
Job information retrieval (IR) exhibits unique characteristics compared to common IR task. First, searching precision on job posting full text is low because job descriptions cannot be properly used in common IR methods. Second, job names semantically similar to the one mentioned in the searching query cannot be detected by common IR methods. In this paper, job descriptions are handled under a two-step job IR framework to find job postings semantically similar to seeds job posting retrieved by the common IR methods. Preliminary experiments prove that this method is effective.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yuwono, B., Lee, D.L.: WISE: A World Wide Web Resource Database System. In: Proc. of ICDE 1996, New Orleans, Louisiana (1996)
Salton, G., Buckley, C.: Term-weighting Approaches in Automatic Text Retrieval. Information Processing & Management 24(5), 513–523 (1988)
Li, J., Sun, M., Zhang, X.: A Comparison and Semi-quantitative Analysis of Words and Character-bigrams Features in Chinese Text Categorization. In: Proc. Of ACL 2006, Sydney, Australia (2006)
Yang, Y., Pedersen, J.O.: A Comparative Study on Feature Selection in Text Categorization. In: Proc. of ICML 1997, pp. 412–420 (1997)
Strehl, A., Ghosh, J., Mooney, R.: Impact of Similarity Measures on Web-page Clustering. In: Proc. of AAAI-2000 Workshop for Web Search, Austin (2000)
Carpineto, C., de Mori, R., Romano, G., Bigian, B.: Information Theoretic Approach to Automatic Query Expansion. ACM trans. 19(1), 1–27 (2001)
Rocchio, J.J.: Relevance Feedback in Information Retrieval. In: Salton, G. (ed.) The SMART Retrieval System, pp. 313–323. Prentice-Hall, Inc, Englewood Cliffs, N.J (1971)
Karypis, G.: CLUTO: A Clustering Toolkit. Dept. of Computer Science, University of Minnesota (May 2002)
Zobel, J., Moffat, A.: Exploring the Similarity Space. In: Proc. Of SIGIR 1998, Melbourne, Australia (1998)
Liu, T., Wu, G., Chen, Z.: An Effective Unsupervised Feature Selection Method for Text Clustering. Journal of Computer Research and Development 42(3), 381–386 (2005)
Lee, J.H.: Combining the evidence of different relevance feedback methods for information retrieval. Information Processing and Management 34(6), 681–691
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, J., Xia, Y., Zheng, T.F., Wu, X. (2008). Job Information Retrieval Based on Document Similarity. In: Li, H., Liu, T., Ma, WY., Sakai, T., Wong, KF., Zhou, G. (eds) Information Retrieval Technology. AIRS 2008. Lecture Notes in Computer Science, vol 4993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68636-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-68636-1_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68633-0
Online ISBN: 978-3-540-68636-1
eBook Packages: Computer ScienceComputer Science (R0)