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Faceted Search using Bootstrap List Extraction Method

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Shery T. S., Sreeja M. U., Binsu C. Kovoor

Shery T S., Sreeja M U. and Binsu C Kovoor. Faceted Search using Bootstrap List Extraction Method. International Journal of Computer Applications 172(7):40-43, August 2017. BibTeX

	author = {Shery T. S. and Sreeja M. U. and Binsu C. Kovoor},
	title = {Faceted Search using Bootstrap List Extraction Method},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {172},
	number = {7},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {40-43},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017915188},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The traditional way of interaction between users and search engines has changed a lot by the invention of faceted search. Earlier, the user had to enter keywords on search engines and the search engine returns a set of web pages on the basis of input keyword. The user has to traverse through these web pages to identify the relevant information. Also, the search results are multifaceted which further reduces clarity in the results. The proposed system presents a systematic solution for finding query facets from top results on search engines by utilizing list extraction algorithm. This helps the users to find the right information without searching a large number of pages. The paper proposes Bootstrap technique in the list extraction phase which will add more results into the extracted list.


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Query facets, faceted search, clustering, multifacets, bootstrap method.