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Mining User Queries for Image Search using Click-through Approach

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Anuja S. Kulkarni

Anuja S Kulkarni. Mining User Queries for Image Search using Click-through Approach. International Journal of Computer Applications 169(2):10-14, July 2017. BibTeX

	author = {Anuja S. Kulkarni},
	title = {Mining User Queries for Image Search using Click-through Approach},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {2},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {10-14},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017914595},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The analysis of user serach for a query can be useful in improving search engine performance. Although the text search has received much importance but a little attention has been proposed for image search. In this paper, we propose influencing advantage of click session information, Click-through logs maintain clicked images information. The visual information of clicked images is used to infer user-image search goals. The Click session information can be used as past users’ implicit guidance for clustering the images, more precise user search goals can be obtained. “Classification” based approach is proposed for autoclassification of user image search. Experimental results demonstrate the effectiveness of the proposed method.


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Image-Search Goals, Click-through logs, Classification, Search Engine, Image retrieval.