On-Line Clustering of Web Search Results

Abstract

Clustering in a data mining setting has been researched for decades. Lately, document clustering used to cluster web search engine results have recieved much attention. Large companies such as Google and Microsoft have shown their interest and we have seen the emergence of commercial clustering engines such as Vivisimo. This thesis shows how a search engine with clustering capabilities can be developed. The approach described has been implemented as a working prototype that allows searching and browsing clusters through a web interface. The prototype has been evaluated in a user survey and through informal testing.