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Topical Clustering of Search Results using Suffix Tree Clustering
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 144 - Number 12 |
| Year of Publication: 2016 |
| Authors: Sunil D. Jejurkar, Vivek P. Kshirsagar |
10.5120/ijca2016910503
|
Sunil D. Jejurkar, Vivek P. Kshirsagar . Topical Clustering of Search Results using Suffix Tree Clustering. International Journal of Computer Applications. 144, 12 ( Jun 2016), 29-33. DOI=10.5120/ijca2016910503
Abstract
In Today’s world, with the increased use of internet the large volume of data is stored on World Wide Web. To use this large data the different search engines are provided. But the accuracy of the data is again based on the appropriate search query submitted by the user to search engine. Depending on the search query the search engine retrieves the massive amount of relevant data by using different algorithms such as page rank algorithm or relevancy algorithm. Further, the returned results decide the performance as well as the efficiency of the search engine. Search result clustering problem means clustering the search results returned by the search engine. In this paper a comparative analysis of Suffix Tree Clustering algorithms is done to decide the how accurately it clusters the search results i.e. an empirical analysis which is done by using standard datasets.
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