A Domain Classification-based Information Retrieval System

Information Retrieval (IR) is the process of retrieving relevant documents from a large collection of documents. The applications of these technologies are no longer restricted to only online search engines, instead, these are widely being used by organizations to facilitate different organizational information searches. Efficient Retrieval of documents from a large collection of organizational data is still a challenging task. In this paper, a domain categorization-based Information Retrieval system is presented for offline document repository. Several tests were conducted to evaluate the performance of the presented model. The performance of the model is also compared with existing retrieval techniques and the results obtained show the efficiency of the model in providing relevant documents quickly. The model achieves approximately 93% precision and 92% recall accuracy in the considered domains and data set.