Abstract: In the system of image automatic annotation, the accuracy of low-level feature and senior semantic annotation is low. Aiming at this problem, combined with low visual features in automatic notation system and senior semantic feature in socialized annotation system, this paper proposes FAC algorithm based on image automatic and socialized annotation. It obtains several candidate annotations from automatic notation system, and users in the website flickr. It uses the image annotation recommending strategy to get recommending annotations. The final aggregate of label results are made full use of the semantic relations from the WordNet semantic dictionary. Experimental result shows that, compared with traditional automatic notation algorithm, the accuracy of FAC algorithm is higher than traditional semantic retrieval.