Advances in IR Query Expansion

ROSHNI SINGH, LEENA R. RAGHA

Abstract


As the internet is becoming rich with huge information, retrieving the wanted information is a huge challenge. Due to huge variation in framing a query by the individuals, matching of the terms with the document to be searched are facing many challenges. Researchers have worked on problem of identifying the correct essence of the user query by adding additional useful terms. They are currently working on this kind of Query Expansion (QE). There are many proposals like Manually, Iterative and Automatic QE. In this work we compare these different techniques and analyze for their strength and weaknesses.


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References


Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze: An Introduction to Information Retrieval, page 163-167. Cambridge University Press, 2009.

Zhao, Le, and Jamie Callan. "Automatic term mismatch diagnosis for selective query expansion." Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. ACM, 2012.

Liu, Shuang, et al. "An effective approach to document retrieval via utilizing WordNet and recognizing phrases." Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 2004.

Salton, Gerard, and Chris Buckley. "Improving retrieval performance by relevance feedback." Readings in information retrieval 24.5 (1997): 355-363.

Carpineto, C. and Romano, G. 2012. A survey of automatic query expansion in information retrieval. ACM Comput. Surv. 44, 1, Article 1 (January 2012).

Y. Li, W. P. R. Luk, K. S. E. Ho, and F. L. K. Chung. Improving weak ad-hoc queries using Wikipedia as external corpus. In Proceedings of SIGIR, 2007.

Xu, Yang, Gareth JF Jones, and Bin Wang. "Query dependent pseudo-relevance feedback based on wikipedia." Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2009.

Keikha, Andisheh, Faezeh Ensan, and Ebrahim Bagheri. "Query expansion using pseudo relevance feedback on wikipedia." Journal of Intelligent Information Systems (2017).A. Karnik, “Performance of TCP congestion control with rate feedback: TCP/ABR and rate adaptive TCP/IP,” M. Eng. thesis, Indian Institute of Science, Bangalore, India, Jan. 1999.

Kankaria, Ashish. "Query Expansion techniques." Indian Institute of Technology Bombay, Mumbai, CSI Journal of Computing 1.2 (2012).

Miller, George A., et al. "Introduction to WordNet: An on-line lexical database." International journal of lexicography (1990).

J. Rocchio. Relevance Feedback in Information Retrieval. In G. Salton, editor, The SMART Retrieval System - Experiments in Automatic Document Processing, pages 313–323. Prentice Hall, Englewood Cliffs, 1971.




DOI: https://doi.org/10.23956/ijarcsse.v8i5.685

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