Adaptive Cluster-based Browsing Using Incrementally Expanded Queries and Its Effects

The accuracy of document clustering depends on the userʹs viewpoints. We make use of queries as the userʹs viewpoints to enhance cluster-based browsing for a large amount of search results, reflecting the userʹs interests. Here the queries are incrementally expanded in the process of cluster-based browsing. We present an application of the proposed method to an IR system on the WWW and evaluate its performance by basic experiments.