The search result clustering toolbar is a tool for searching web with the Search Result Clustering (SRC) technique, which is developed at Web Search and Mining Group in MSR, Asia. It on-the-fly clusters a certain search engine's search results into different groups, and provide meaningful and readable names for these groups. SRC changes the traditional representation of search results into a non-linear way, so as to facilitate user's browsing. Traditional clustering techniques don't work for this problem because the documents are short, the cluster names should be readable and the algorithm should be efficient for on-the-fly calculation. Our method take the whole problem in another way and overcome the difficulties in traditional clustering method. Basically, we try to first identify salient topics by identifying distinct and independent keyword, and then classify the search results into these topics.
Note By installing, copying, or otherwise using this software, you agree to be bound by the terms of its license. Read the license.