Abstract To improve the quality of tag recommendation, a tag recommendation method considering users current tagging status is proposed. Firstly, the statistical analysis shows the total number of tags used by a user is changed with time in a social tagging system. Then, three tagging statuses are defined, i.e. the growing status, the mature status and the dormant status, and a user current tagging status is one of the above statuses. Finally, according to the characteristics of the current tagging status, different strategies are developed to compute the tag probability distribution to recommend tags to users. Results of comparative experiments show that the proposed method has better accuracy of tag recommendation.
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