International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




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Review Papers | Computer Science & Engineering | India | Volume 5 Issue 1, January 2016


World Wide Web Metasearch Using TF-IDF Method

S. P. Phadtare | S. B. Magdum


Abstract: As the storage capacity and the processing speed of search engine is growing to keep up with the constant expansion of the World Wide Web, the user is facing an increasing list of results for given query. a simple query composed of common words sometimes has thousands of results making it impossible for the user to verify all of them, in order to identify a particular site. even when the list of results is presented to the user ordered by a rank, most of the time it is not sufficient support to help him identify the most relevant sites for his query. the concept of search result clustering was introduced as a solution to this situation. the process of clustering search results consists of building up thematically homogenous groups from the initial list results provided by classic search tools, and using up characteristics present within the initial results without any kind of predefined categories.


Keywords: clustering, WWW, lexical analyze, stop word, stemming


Edition: Volume 5 Issue 1, January 2016,


Pages: 710 - 712

World Wide Web Metasearch Using TF-IDF Method


How to Cite this Article?

S. P. Phadtare, S. B. Magdum, "World Wide Web Metasearch Using TF-IDF Method", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=NOV152833, Volume 5 Issue 1, January 2016, 710 - 712, #ijsrnet

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