A Novel Method for Prediction of Difficult Keyword Queries

Authors(2) :-Sonal. G. Chopde, S.A.Murab

Keyword queries are used to access data from databases. To improve the performance of querying system it would be useful to identify queries with low ranking quality. In this paper we analyze the characteristics o hard queries and propose a novel framework to measure the difficulty for a keyword query over a database. We evaluate our query difficulty prediction model against two effectiveness benchmarks for popular keyword search ranking methods. The ranking quality of the result provides a good user satisfaction. Our intensive experiments show that the algorithms predict the issue of a question with comparatively low errors and negligible time overhead.

Authors and Affiliations

Sonal. G. Chopde
Department of Computer Science and Engineering, Jagdambha College of Engineering and Technology, Yavatmal, Maharashtra, India
Department of Computer Science and Engineering, Jagdambha College of Engineering and Technology, Yavatmal, Maharashtra, India

Query Performance, Query Effectiveness, Keyword Query, Robustness, Databases

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 311-316
Manuscript Number : IJSRSET162292
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sonal. G. Chopde, S.A.Murab, " A Novel Method for Prediction of Difficult Keyword Queries , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.311-316, March-April-2016.
Journal URL : http://ijsrset.com/IJSRSET162292

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