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Query Intent Classification using Semi- Supervised Learning

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IJCA Proceedings on International Conference on Emergent Trends in Computing and Communication
© 2014 by IJCA Journal
ETCC - Number 1
Year of Publication: 2014
Authors:
Safallya Dhar
Sandeepan Swain
B. S. P. Mishra

Safallya Dhar, Sandeepan Swain and B S P Mishra. Article: Query Intent Classification using Semi- Supervised Learning. IJCA Proceedings on International Conference on Emergent Trends in Computing and Communication ETCC(1):40-43, September 2014. Full text available. BibTeX

@article{key:article,
	author = {Safallya Dhar and Sandeepan Swain and B. S. P. Mishra},
	title = {Article: Query Intent Classification using Semi- Supervised Learning},
	journal = {IJCA Proceedings on International Conference on Emergent Trends in Computing and Communication},
	year = {2014},
	volume = {ETCC},
	number = {1},
	pages = {40-43},
	month = {September},
	note = {Full text available}
}

Abstract

The Query Intent classification using semi-supervised learning about ti find a better away to search the web precision that result surfer want to search is 99. 8% matched, but due to search engine know what type of query user want to search and logs that are residing in the server of search engine . Which are put in data warehouse of vendor search engine for testing purpose that what type was given. In this paper algorithm is proposed how to increase the precision rate.

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