Web search result refinement by document clustering
Ming Hei Tsui, Bresley Lim, Daming Shi · 2007
A simple search keyword usually returns million of search results. The result count may appear impressive, at the same time it confuse the users. User usually will not wish to browse through million of entries. This paper proposed a query refinement method by iterative clustering of information from the web page content. QRSE system is developed to demonstrate the abovementioned concept.