Collaborative tagging is a way of information collection after the popularity of the Internet. Digital resource preservation and management organizations are very interested in this way, and have done a lot of research. However, this method is affected by the uneven level of information providers, the difficulty in confirming the accuracy of information, and the risk of unverified information exposure on the platform. In this paper, we will design a collaborative tagging model, which uses the content of user's spontaneous tagging as the basis, through the three stages of self-use tag, collective tag audit and public tag, to supplement the collection information and improve the efficiency of digital resource retrieval.

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