Optimization of User Query for Improving Document Retrieval Performance

• DOI: 10.5120/ijca2022921970
• Publication Date: 2022-03-31T10:14:18Z
• Authors: Nidhi Bhandari; Rachna Navalakhe; G.L. Prajapati
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

The unstructured data processing and finding accurate information from IR models is a complex task.The classical techniques use different concepts for improving such as categorization, classification many more.This paper reviews document retrieval first then an extension on previously introduced version provided.Similar to the traditional model, this technique pre-process extract features.After that retrieved features are organized in tuple.These tuples further used with fuzzy c means algorithm cluster their domain according features.This process reduces time of proposed search model.In addition that, preventing inappropriate query submission, new generation optimization also work.The results dataset shows model improve performance terms efficiency accuracy.