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We developed a Web-based intelligent photo browser which enables automatic clustering of unstructured personal digital photo collection. We conducted user studies to assess the usability of the developed photo browser (APC, automatic photo classifier) compared with an unstructured one. The user task adopted here was finding some of target pictures indicated by an experimenter from personal or somebody elsepsilas photo collections. The results show that APC is better in the case of the personal photographs while it requires much time for otherspsila photo collections. It was suggested that the glance of a photo browser should be considered according to whether the photographs had been taken by the user.