Personalized tag recommendation for Flickr users

Social image share websites such as Flickr allow users to manually annotate their images with their own words, which can be used to facilitating image retrieval and other image applications. For the vast number of online images contributed by social users, existing methods on tag recommendation haven't taken users' characteristics and tagging habits into consideration. In this paper, we propose a personalized tag recommendation system for Flickr users. It can recommend users personalized tags for their newly uploaded photos based on the history information in their social communities. We carry out the personalized tag recommendation from three aspects. First, the tags we recommend to users are users' own vocabularies. Second, different recommendation methods are implemented to different users. Third, different users are recommended with different number of tags based on their tagging habits. The experimental results indicate that our personalized tag recommendation is effective.