Improving Information Retrieval On The Web Using Clustering Approaches
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 10
Abstract
As large amounts of digital information become more and more accessible. The ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant information by relying primarily onlexical and word based measures. Similarly, standard approaches to organizing and categorizing large amounts of textual information have previously relied on lexical and word based measures to perform grouping or classification tasks. Quite often, however, these processes take place without respect to semantics, or word meanings. This is perhaps due to the fact that the idea of meaningful similarity is naturally qualitative, and thus difficult to incorporate into quantitative processes.
Authors and Affiliations
Dr. A. Chandrabose, T. Manivannan, M. Jayakandan, P. Ananthi
Keywords
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- EP ID EP401991
- DOI 10.9790/9622-0810030108.
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