A Novel Framework Using Structured Robustness Score in Keyword Quries Over Database by Feedback Algorithm and Profile Migration Scheme

Authors

  • K Sivaranjani Department of Computer Science, STET Women’s College, Mannargudi
  • V Geetha Department of Computer Science, STET Women’s College, Mannargudi

Keywords:

Inquiry Performance, Question Effectiveness, Magic Word Query, Robustness, Databases

Abstract

Magic word questions on data bases offer simple accessibility to data, however for the most part endure from low positioning quality, i.e., low exactitude and/at that point again recall, as demonstrated in recent benchmarks. It’d be accommodating to spot questions that square measure presumably to own low positioning quality to make strides the customer satisfaction. at that point again example, the framework could recommend to the customer diverse questions at that point again such onerous queries.. We set forth a high-principled framework and proposed novel calculations to live the degree of the issue of a question over a dB, exploitation the positioning strength principle. Supported our framework, we tend to proposture novel calculations that with proficiency anticipate the adequacy of a magic word question. Our intensive tests show that the calculations anticipate the issue of a question with comparatively low errors and negligible time overheads.

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Published

2025-11-10

How to Cite

[1]
K. Sivaranjani and V. Geetha, “A Novel Framework Using Structured Robustness Score in Keyword Quries Over Database by Feedback Algorithm and Profile Migration Scheme”, Int. J. Comp. Sci. Eng., vol. 3, no. 8, pp. 143–147, Nov. 2025.

Issue

Vol. 3 No. 8 (2015): IJCSE August Edition

Section

Review Article

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