Interactive Chinese search resulte clustering for personalization

Abstract

Searching for information on the Web has attracted great attention in many research communities. Results returned by most Chinese web search engines usually reach up to thousands or even millions of documents, so efficient interfaces for search and navigation are of critical need. In this paper, we proposed an interactive search results clustering system to facilitate browsing Chinese web pages in a more compact and thematic form. Users could select the clusters that best matched the implicit meanings of their queries and personalized on-the-fly those search results. Our experiments showed that this highly efficient approach outperformed the traditional Chinese search engines. © Springer-Verlag Berlin Heidelberg 2005.