An Efficient Extended Query Suggestion System Using the Analysis of Users’ Query Patterns 


Vol. 37,  No. 7, pp. 619-626, Jul.  2012


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  Abstract

With the service suggesting additional extended or related query, search engines aim to provide their users more convenience. The extended or related query suggestion service based on popularity, or by how many people have searched on web using the query, has limitations to elevate users’ satisfaction, because each user’s preference and interests differ. This paper will demonstrate the design and realization of the system that suggests extended query appropriate for users’ demands, and also an improvement in the computing process between entering the first search word and the subsequent extension to the related themes. According to the evaluation the proposed system suggested 41% more extended or related query than when searching on Google, and 48% more than on Yahoo. Also by improving the shortcomings of the extended or related query system based on general popularity rather than each user’s preference, the new system enhanced users’ convenience further.

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  Cite this article

[IEEE Style]

Y. Kim and G. Park, "An Efficient Extended Query Suggestion System Using the Analysis of Users’ Query Patterns," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 619-626, 2012. DOI: .

[ACM Style]

Young-an Kim and Gun-Woo Park. 2012. An Efficient Extended Query Suggestion System Using the Analysis of Users’ Query Patterns. The Journal of Korean Institute of Communications and Information Sciences, 37, 7, (2012), 619-626. DOI: .

[KICS Style]

Young-an Kim and Gun-Woo Park, "An Efficient Extended Query Suggestion System Using the Analysis of Users’ Query Patterns," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 619-626, 7. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880