• Anju G R
• Karthik M

Searching is a charmed experience. There are many search engines tough it suffers many issues. The best search engine should be like, say for a nontechnical user to understand easily. One such method is the faceted search. Faceted search help searching by giving suggestions as facets. Facets are something that summaries an important aspect of a query. For example for the query computer the facets will be operating system, price, hard disk etc. So if a user focuses on hard disk then the user can go with the hard disk facet rather than searching for the computer keyword only. This is how facets help users. Facets help users by offering drill down option as a complement to the keyword input box. There are many methods to generate facets from the search results. In this paper compare two methods for facets generation from the search results. Mainly compare two clustering methods during the facets generation such as QT algorithm and Batch STS algorithm. Experimental results show that Batch STS is better than QT algorithm.

"Comparison: QT (Quality Threshold) And Batch STS Algorithm for Facets Generation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 4, page no.281-284, April-2017, Available :http://www.jetir.org/papers/JETIR1704068.pdf

"Comparison: QT (Quality Threshold) And Batch STS Algorithm for Facets Generation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 4, page no. pp281-284, April-2017, Available at : http://www.jetir.org/papers/JETIR1704068.pdf