Abstract
Similar document retrieval from the enormous volume of documents in database is a critical task. In this research work, improved information retrieval system utilising cooperative ontological based user profile construction (IIRS-COUPC) is introduced for accurate similar document retrieval. Here, cooperative ontology-based user profile (COUP) is built to take back the documents from diverse ideas that match with the user's demand. In order to make simplicity of document looking for process and merges the numerous users with identical demands, documents clustering (DC) and query clustering (QC) is accomplished in this work independently. Lastly, concept mapping (CM) is accomplished to take back the documents which matches with the user needs proficiently. The whole assessment of the current research work is accomplished in the java simulation environment from which it is shown that the current research methodologies confirms its improved performance.
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