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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
Year of Publication: 2016
Sunil D. Jejurkar, Vivek P. Kshirsagar

Sunil D Jejurkar and Vivek P Kshirsagar. Topical Clustering of Search Results using Suffix Tree Clustering. International Journal of Computer Applications 144(12):29-33, June 2016. BibTeX

	author = {Sunil D. Jejurkar and Vivek P. Kshirsagar},
	title = {Topical Clustering of Search Results using Suffix Tree Clustering},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {144},
	number = {12},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {29-33},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2016910503},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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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Suffix Tree Clustering, Search Results.