Downloads: 115 | Views: 292
Review Papers | Computer Science & Engineering | India | Volume 5 Issue 1, January 2016 | Popularity: 6.6 / 10
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
DOI: https://www.doi.org/10.21275/NOV152833
Please Disable the Pop-Up Blocker of Web Browser
Verification Code will appear in 2 Seconds ... Wait