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  • 标题:Efficient and Intelligent Information Retrieval using Support Vector machine (SVM)
  • 本地全文:下载
  • 作者:Monika Arora ; Uma Kanjilal ; Dinesh Varshney
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2012
  • 卷号:1
  • 期号:6
  • 页码:39-43
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要: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.
  • 关键词:Information Retrieval; Web Information;Retrieval; Support vector machine
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