Abstract
The exponential growth of information on the World Wide Web has prompted for developing efficient and effective methods for organizing and retrieving the information. Clustering techniques play an important role in searching and organization of web pages. In this paper we proposed an approach for web search results clustering based on a new document clustering algorithm. It is an alternative to a single ordered result of search engines. This approach presents a list of clusters to the user. This believes that clusters of search results are easier to browse than a single ordered list. Experimental results show that the new approach has better performance than that of conventional web search result clustering.
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