Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval

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http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.22

Sixth IEEE International Conference o ...

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	ASCII Text	x
	Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon, "Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval," Data Mining, IEEE International Conference on, pp. 295-306, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDM.2006.22, author = {Xiangji Huang and Yan Rui Huang and Miao Wen and Aijun An and Yang Liu and Josiah Poon}, title = {Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2006}, issn = {1550-4786}, pages = {295-306}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.22}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval SN - 1550-4786 SP295 EP306 A1 - Xiangji Huang, A1 - Yan Rui Huang, A1 - Miao Wen, A1 - Aijun An, A1 - Yang Liu, A1 - Josiah Poon, PY - 2006 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Xiangji Huang, York University, Canada

Yan Rui Huang, York University, Canada

Miao Wen, York University, Canada

Aijun An, York University, Canada

Yang Liu, York University, Canada

Josiah Poon, University of Sydney, Australia

In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of labeled passages obtained from the blind feedback of a retrieval system. The data mining results are used to expand query terms and to re-estimate some of the parameters used in a probabilistic weighting function. We evaluate the data mining based feedback method on the TREC HARD data set. The results show that data mining can be successfully applied to improve the text retrieval performance. We report our experimental findings in detail.

Citation:

Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon, "Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval," icdm, pp.295-306, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006

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