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Design of a state machine towards efficient management of user-generated data

Social media facilitates the process of information sharing, and meanwhile, prompts the generation of a considerable amount of data. Although the data, or user-generated contents, enrich the results for the process of information seeking, it causes the complexity to identify the value of data. Thus, an approach that achieves efficient management of user-generated data was proposed. It especially concentrates on the correlations among data and interactions with users. A state machine is designed to identify the user-generated data, and corresponding usage scenarios. The performance and feasibility can be revealed by the experiments sourced by the data collected from open social networks.