Efficient and Intelligent Information Retrieval using Support Vector machine (SVM)
Monika Arora1, Uma Kanjilal2, Dinesh Varshney3
1Monika Arora, Department of IT/IS, Apeejay School of Management, Dwarka Institutional Area, New Delhi, India.
2Uma Kanjilal, Department of Library and Information Science, Indira Gandhi Open University, Maidan Garhi, New Delhi, India.
3Dinesh Varshney,School of Physics, Devi Ahilya University, Khandwa road Campus, Indore, M. P. India and Multimedia regional Centre, Madhya Pradesh Bhoj (open) University, Khandwa road Campus, Indore, M. P. India.
Manuscript received on November 21, 2011. | Revised Manuscript received on November 30, 2011. | Manuscript published on January 05, 2012. | PP: 39-43 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0260111511/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The information access is the rich data available for information retrieval, evolved to provide principal approaches or strategies for searching and browsing. The search has become the leading paradigm to find the information on World Wide Web. For building the successful information retrieval, there are a number of prospects that arise at the different levels where techniques can be considered. The present investigations explore the Support vector machine identified its level and classifies the documents on web. This paper attempts to develop a model for the efficient and intelligent retrieval. This paper attempts to propose the implement model for efficient and intelligent retrieval. In model it attempted to figure out the important factors for the successful efficient and intelligent retrieval. The proposed model is designed to collate all the differing views on information retrieval so as to construct a holistic theoretical which is considered to be the source of a system. This paper considers the application of Support Vector Machine for designing the model for efficient and intelligent retrieval. This will also consider a proposed model for developing successful retrieval.
Keywords: Information Retrieval, Web Information Retrieval, Support vector machine.