A New Bisecting K-means algorithm For Inferring User Search Goals Engine
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014

A New Bisecting K-means algorithm For Inferring User Search Goals Engine

Agale Deepali B., Chaudhari J.L.

Different users may want to search different goals when they submit some ambiguous query, to a search engine. The inference of user search goals can be very useful in improving performance of search engine. To conclude user search goals by analyzing search engine query logs a novel approach is proposed. First thing is that, we propose a framework to find out different user search goals for a query by clustering the proposed feedback sessions. Feedback session is built from user click-through data and can efficiently reflect the information needs of users. Second thing is, we propose a novel approach to generate pseudo-documents by using feedback sessions for clustering. For clustering a new algorithm which is bisecting K-means algorithm is used. At the end, a new criterion Classified Average Precision (CAP) is proposed to evaluate the performance of search enging.This criteria gives us value for k-means and bisecting k-means algorithm which shows that bisecting algorithm has better performance than k-means.

Keywords: search goalsFeedback Sessions, Pseudo-Documents, Restructuring Search Results, Classified Average Precision

Edition: Volume 3 Issue 10, October 2014

Pages: 515 - 521

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Agale Deepali B., Chaudhari J.L., "A New Bisecting K-means algorithm For Inferring User Search Goals Engine", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SEP14630, Volume 3 Issue 10, October 2014, 515 - 521

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