Since many methods for cluster user interest does not consider the semantic similarity of the user labels, a micro-blog user label interest clustering method is introduced based on feature mapping. Firstly, the user labels of the target users and their focus users are obtained, then the labels with the higher frequency than the threshold value is chosen. Therefore, a feature space is created. Secondly, the user labels are mapped to the feature space by calculating the semantic similarity based on the feature mapping. Finally, the fuzzy clustering is utilized to obtain the clustering result of different threshold value. Experimental results show that the method greatly improves the clustering accuracy rate for user interest clustering.