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Mining User Queries for Image Search using Click-through Approach

by Anuja S. Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 2
Year of Publication: 2017
Authors: Anuja S. Kulkarni
10.5120/ijca2017914595

Anuja S. Kulkarni . Mining User Queries for Image Search using Click-through Approach. International Journal of Computer Applications. 169, 2 ( Jul 2017), 10-14. DOI=10.5120/ijca2017914595

@article{ 10.5120/ijca2017914595,
author = { Anuja S. Kulkarni },
title = { Mining User Queries for Image Search using Click-through Approach },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 2 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number2/27956-2017914595/ },
doi = { 10.5120/ijca2017914595 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:16:16.270543+05:30
%A Anuja S. Kulkarni
%T Mining User Queries for Image Search using Click-through Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 2
%P 10-14
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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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Index Terms

Computer Science
Information Sciences

Keywords

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

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