Manuscript Number : IJSRSET162292
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.
Sonal. G. Chopde
Query Performance, Query Effectiveness, Keyword Query, Robustness, Databases
Publication Details
Published in :
Volume 2 | Issue 2 | March-April 2016 Article Preview
Department of Computer Science and Engineering, Jagdambha College of Engineering and Technology, Yavatmal, Maharashtra, India
S.A.Murab
Department of Computer Science and Engineering, Jagdambha College of Engineering and Technology, Yavatmal, Maharashtra, India
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
Journal URL :
https://ijsrset.com/IJSRSET162292