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.
Index Terms—Information retrieval, data mining, user profile, recommender system
S. Venkatraman is with the School of Science, Information Technology
and Engineering, University of Ballarat, PO Box 663 VIC 3353, Australia
S. J. Kamatkar is with Central Computing Facility at University of Mumbai, India - 400032 (e-mail: email@example.com).
Cite: Sitalakshmi Venkatraman and Sadhana J. Kamatkar, "Intelligent Information Retrieval and Recommender System Framework," International Journal of Future Computer and Communication vol. 2, no. 2 pp. 85-89, 2013.