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A Novel Method for Prediction of Difficult Keyword Queries

Author

Listed:
  • Sonal
  • G. Chopde
  • S.A.Murab

Abstract

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.

Suggested Citation

  • Sonal & G. Chopde & S.A.Murab, 2016. "A Novel Method for Prediction of Difficult Keyword Queries," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 311-316, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset162292
    Note: Article URL: https://ijsrset.com/IJSRSET162292
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