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Optimization of User Query for Improving Document Retrieval Performance
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 2 |
| Year of Publication: 2022 |
| Authors: Nidhi Bhandari, Rachna Navalakhe, G.L. Prajapati |
10.5120/ijca2022921970
|
Nidhi Bhandari, Rachna Navalakhe, G.L. Prajapati . Optimization of User Query for Improving Document Retrieval Performance. International Journal of Computer Applications. 184, 2 ( Mar 2022), 14-19. DOI=10.5120/ijca2022921970
Abstract
The unstructured data processing and finding accurate information from IR models is a complex task. The classical techniques use different concepts for improving IR models such as categorization, classification and many more. This paper reviews different document retrieval techniques first and then an extension on previously introduced version is provided. Similar to the traditional model, this technique first pre-process data and extract features. After that the retrieved features are organized in a tuple. These tuples are further used with fuzzy c means algorithm to cluster their domain according to their features. This process reduces the time of proposed search model. In addition to that, for preventing inappropriate query submission, the new query generation and optimization is also proposed in this work. The results with the different dataset shows the proposed IR model improve the performance in terms of efficiency and accuracy.
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