The Interestingness Tool for Search in the Web

Iaakov Exman, Gilad Amar, Ran Shaltiel

2012

Abstract

Interestingness – as the composition of Relevance and Unexpectedness – has been tested by means of Web search cases studies and led to promising results. But for thorough investigation and routine practical application one needs a flexible and robust tool. This work describes such an Interestingness based search tool, its software architecture and actual implementation. One of its flexibility traits is the choice of Interestingness functions: it may work with Match-Mismatch and Tf-Idf, among other functions. The tool has been experimentally verified by application to various domains of interest. It has been validated by comparison of results with those of commercial search engines and results from differing Interestingness functions.

References

  1. Exman, I., “Interestingness - A Unifying Paradigm - Bipolar Function Composition”, in Fred, A. (ed.) Proc. KDIR'2009 Int. Conference on Knowledge Discovery and Information Retrieval, pp. 196-201, (2009).
  2. Geng, L. and Hamilton, H. J., “Choosing the Right Lens: Finding What is Interesting in Data Mining”, in Ref. [Guillet and Hamilton, 2007], pp. 3-24 (2007).
  3. Guillet, F. and Hamilton, H. J., Quality Measures in Data Mining, Springer, Heidelberg, Germany, 2007.
  4. Klosgen, W. and Zytkow, J. M. (eds.), Handbook of Data Mining and Knowledge Discovery, Oxford University Press, Oxford, Japan, 2002.
  5. Lin, T., Etzioni, O. and Fogarty, J., “Identifying Interesting Assertions from the Web”, in Proc. CIKM'09, 18th ACM Conf. on Information and Knowledge Management, pp. 1787- 1790, (2009).
  6. McGarry, K., “A survey of interestingness measures for knowledge discovery”, Knowledge Engineering Review J., 20 (1), pp. 39-61, (2005).
  7. Padmanabhan, B. and Tuzhilin, A., “Unexpectedness as a measure of interestingness in knowledge discovery”, Decision Support Sys., Vol. 27, (3), (1999).
  8. Piatetsky-Shapiro, G. and Matheus, C. J., “The Interestingness of Deviations”, KDD-94, AAAI-94 Knowledge Discovery in Databases Workshop, (1994).
  9. Tuzhilin, A., “Usefulness, Novelty, and Integration of Interestingness Measures”, chapter 19.2.2 in reference [Klosgen and Zytkow, 2002], pp. 496-508, (2002).
  10. Webb, G. I., “Preliminary Investigations into Statistically Valid Exploratory Rule Discovery”, in AUSDM03, Proc. 2003 Australasian Data Mining Workshop, pp. 1-9, (2003).
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Paper Citation


in Harvard Style

Exman I., Amar G. and Shaltiel R. (2012). The Interestingness Tool for Search in the Web . In Proceedings of the 3rd International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2012) ISBN 978-989-8565-32-7, pages 54-63. DOI: 10.5220/0004178900540063


in Bibtex Style

@conference{sky12,
author={Iaakov Exman and Gilad Amar and Ran Shaltiel},
title={The Interestingness Tool for Search in the Web},
booktitle={Proceedings of the 3rd International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2012)},
year={2012},
pages={54-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004178900540063},
isbn={978-989-8565-32-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2012)
TI - The Interestingness Tool for Search in the Web
SN - 978-989-8565-32-7
AU - Exman I.
AU - Amar G.
AU - Shaltiel R.
PY - 2012
SP - 54
EP - 63
DO - 10.5220/0004178900540063