[Objective] Social tags can be used for the recommendation and navigation sections of information retrieval systems. This paper proposes a method to construct a dynamic user tag cloud based on the temporal evolution to reveal the changes of user interests. [Methods] We established the tags’ dynamic weights with the forgetting and strengthening characteristics of memory in psychology. Thus, the dynamic user tag cloud reflect user’s changing focus. [Results] Compared with the existing ones, the proposed algorithm could effectively sort the tags, and then make accurate predictions or recommendations. [Limitations] The proposed method performed well over long period of time because user’s interests do not change significantly in a short period of time. [Conclusions] The proposed algorithm could effectively identify user’s interests and then improve the personalized services.
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