Abstract: Digital resource aggregation is a complex process, which involves many factors. During each link for various reasons, there will be some errors, these errors are accumulated and presented in the final results of the aggregate. The error accumulated to a certain extent will have a certain impact on the personalized service. Therefore, using the literature research method, deductive induction method and error theory of digital resources aggregation concept error, error source and error types and error on the polymerization results mechanism analysis, put forward the “purpose, process, method, results” as a roadmap for the path of personalized service and meshing of factors on the personalized service were studied. The results show that the aggregation error of digital resources can affect the personalized service, and only the accumulation error of the control resource aggregation can be better to provide personalized service for the users.

Key words: Digital resource aggregation, Aggregation error, Personalized service, Mechanism of action, Influence model