Abstract
The important thing in Exploratory Search is that a retrieving person clarifies the goal of search. For that purpose, it is required to find the keyword which related to Search-word and pulls a retrieving person's interest. However, since the information acquired by search is huge, it is difficult to find the keyword which fulfills conditions from the information. Then, I thought that such a problem was solvable by developing the tool which extracts only required information from search results and displays the clustered result. In order to make a clustering result intelligible visually, a self-organization map is used, and information is arranged and displayed on a two-dimensional map. Moreover, in order to be able to reflect a user's idea in a clustering result, it enables it to change freely the parameter of the feature vector used by SOM. Finally, evaluating the usefulness of this tool by experiment.
