Due to the diversity and dynamics of cloud services, it is usually hard for potential cloud consumers to select the most suitable cloud service. In prior studies, cloud service selection is usually based on either objective performance assessment or cloud users' subjective assessment (e.g., subjective ratings). However, either assessment way has its limitation in reflecting the quality of cloud services. This causes a problem that some vital performance aspects which concern potential cloud consumers are not taken into account in cloud service selection. This paper proposes a novel context-aware cloud service selection model based on the comparison and aggregation of subjective assessment extracted from cloud user feedback and objective assessment from quantitative performance testing.