Abstract
In order to utilize news articles from multiple news sites, it is better to understand the characteristics of each news site. In this paper, a concept of contrast set mining is applied for analyzing the characteristic difference between each news site and all others. The News Site Contrast (NSContrast) system is also proposed based on this mining technique. This system is applied to a news article database constructed from multiple news sites from different countries in order to evaluate its effectiveness.
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
Baillie, M., Crestani, F., Landoni, M.: Peng: integrated search of distributed news archives. In: SIGIR 2006: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 607–608. ACM Press, New York (2006)
McKeown, K.R., Barzilay, R., Evans, D., Hatzivassiloglou, V., Klavans, J.L., Nenkova, A., Sable, C., Schiffman, B., Sigelman, S.: Tracking and summarizing news on a daily basis with Columbia’s Newsblaster. In: Proceedings of the Human Language Technology Conference (2002)
Stephen, D., Bay, M.J.P.: Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery 5(3), 1213–1246 (2001)
Yoshioka, M., Taniguchi, T., Haraguchi, M.: Research on multiple news sites analysis using correlation change. In: Knowledge Media Science. Preparing the Ground: International Workshop, Landsberg Castle, Meiningen Germany, October 2-5, 2006, Revised Selected Papers (to appear, 2007)
Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Bocca, J.B., Jarke, M., Zaniolo, C. (eds.) Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pp. 487–499. Morgan Kaufmann, San Francisco (1994)
Taniguchi, T., Haraguchi, M.: Discovery of hidden correlations in a local transaction database based on differences of correlations. Data Engineering Applications of Artificial Intelligence 19(4), 419–428 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yoshioka, M. (2008). IR Interface for Contrasting Multiple News Sites. 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_56
Download citation
DOI: https://doi.org/10.1007/978-3-540-68636-1_56
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)