通用的图像美感研究没有考虑用户之间的审美差异，不能表示用户的个性化审 美偏好。为了更有效地表示用户的个性化审美偏好，本研究利用计数网格模型，提出了 一种基于个性化生成模板集聚的用户美感表征建模方法，构建起了一个更紧致的用户图 像美感表征向量，能更好地描述用户特征。实验结果表明，文中提出的方法构建的用户 美感表征方式，在用户识别中可以获得更高的识别率，在用户推荐中也能得到更符合实 际情况的推荐结果。

The general image aesthetic research can not represent the user’s personalized aesthetic preferences becaused it does not consider the aesthetic differences among users. In order to represent the user’s personalized aesthetic preferences more effectively, a user aesthetic representation construction method based on personalized generation template aggregation using the Counting Grid model was proposed in this research. It constructs a more compact user image aesthetic representation vector, which can better describe the user characteristics. Experimental results show that the way of user aesthetic representation constructed by the proposed method can obtain higher recognition rate in user identification, and can also obtain more realistic recommendation results in user recommendation.