Improving image tag recommendation using favorite image context
Tag recommendation allows mitigating the amount of user effort needed to annotate images. Assuming that favorite images and their associated tags are indicative of the visual and topical interests of users, this paper proposes a personalized image tag recommendation technique that makes use of favorite image context. Specifically, to recommend tags for a newly uploaded image, we propose to take advantage of the tags assigned to favorite images of the user who uploaded the image, fusing tag statistics and visual similarity. Experimental results obtained for images and tags retrieved from Flickr compare the use of favorite image context to the use of personal and collective context for the purpose of tag recommendation, showing that the use of favorite image context is promising.