The public page is a popular online social community platform. These pages form a network by liking each other. Location classification of public pages has been studied at the country and state levels. In this paper, we explored the task of public page classification by cities within California. We introduced a virtual geographic structure for city clusters resembling counties in California. We developed a clustering algorithm that leverages the confusion matrix from flat city classification to construct the virtual geographic city structure. Then, adopting a two-stage hierarchical classification strategy-first classifying pages by city cluster and then within clusters by city-we enhanced the accuracy from 0.6928 of flat city classification to 0.8014.