Abstract
With huge growth in enterprise data, intelligent information retrieval methods have gained research focus. This paper addresses the difficulty of retrieving relevant, pertinent, and novel information for a large system that involves fusion of data in different formats such as, text, barcode, and images. We propose a framework to combine an intelligent image retrieval and intelligent information retrieval (IIR) along with the user profile learning to develop a recommender system. We demonstrate the application of our proposed framework in a real-life situation.
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