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In the cloud environment, the unified modeling of cloud data has been a hot research topic. In particular, the requirement for flexibility and security of multi-source heterogeneous data is higher. With the continuous development of data and information technology, the gradual acceleration of network updates, data updates are also getting faster and faster, from the mass of information on how to quickly help users get the preference of information becomes more difficult. According to the characteristics of heterogeneous data, comprehensive mobile Internet Security and privacy features proposed a USDR model, and on the basis of the model of cloud environment in the push method were studied, take the initiative to help users find their preference information and will show users may need the information, and to achieve the recommended that cannot be handled by traditional methods of data recommended multi-source heterogeneous data cloud. According to the operation condition and related indexes of cloud push platform in experiment environment, it is suggested that the cloud recommendation method can be applied to multi-source heterogeneous data, and it is a highly efficient and feasible recommendation method.