A Taxonomy of Web Search using Search History Clustering Mechanism
Kala O.S1, R.Premkumar2
1Kala O. S, M.E. Student, Department of Computer Science & Engineering, Annai Mathammal Sheela College of Engineering, Namakkal (Tamil Nadu), India.
2Mr. R. Premkumar, Assistant Professor, Department of Computer Science & Engineering, Annai Mathammal Sheela College of Engineering, Namakkal (Tamil Nadu), India.
Manuscript received on 15 April 2013 | Revised Manuscript received on 22 April 2013 | Manuscript Published on 30 April 2013 | PP: 40-43 | Volume-2 Issue-5, April 2013 | Retrieval Number: E0635032413/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The size and richness of information available on the web growing very rapidly. To this end the users are trying to accomplish more complex task through online. The users can break down the complex tasks into a few co-dependent tasks and issue as multiple queries around these tasks. Search engines are the primary means of accessing information through online.While searching, the search engine can keep their old queries and clicks. Grouping of related queries in the search history is useful for a variety of search engine applications.Query grouping allows the search engine to better understand a user’s session and tailor that user’s search experience according to their needs. Hence this system presents a mechanism that automatically identifies query groups in the search history.
Keywords: Search History, Query Group, Search Behavior Graphs, Query Reformulation.
Scope of the Article: Clustering