Adaptive cluster-based browsing using incrementally expanded queries and its effects (poster abstract)

The accuracy of document clustering depends on the user’s viewpoints. We make use of queries as the user’s viewpoints to enhance cluster-based browsing for a large amount of search results, reflecting the user’s 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.