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Combined techniques based query expansion approach for document retrieval system
Dilip Kumar Sharma (Indian Institute of Technology Dhanbad, GLA University), Rajendra Pamula (Indian Institute of Technology Dhanbad), Durg Singh Chauhan (GLA University)
Abstract: Automatic query expansion technique is used generally to resolve term mismatch problems existing in Information Retrieval System (IRS). This paper explores the necessary conditions to obtain the best query using knowledge sources and other IRS parameters. This paper proposes a new combined techniques based query expansion approach to enrich the performance of documents retrieval process. In this work, all the experiments are performed on two English written datasets CACM and CISI. At last, the proposed is tested and compared with recently developed similar types of query expansion techniques on the datasets, as mentioned above. The obtained results show a significant improvement in the performance of query expansion.