National Image Resources Recommendation for Targeted International Communication via E-CARGO Model

It is important to select appropriate national image resources to build a nation’s images for targeted international communication of national images. Existing research only focusing on the methodologies, lacks the systematic modeling and solving of national image resources recommendation. A collaborative recommendation approach to national image resources is proposed. In the approach, an evaluation model of national image resources and an evaluation model of communication audiences are put forward, and an evaluation mechanism is proposed to measure the comprehensive compatibility between national image resources and communication audiences. By innovatively introducing the role-based collaboration (RBC) theory and the environment-classes, agents, roles, groups, and objects (E-CARGO) model, the national image resources recommendation is formalized as a collaborative optimization problem. The mathematical model is built and solved via an optimization package. Finally, the case study and experiments show that the approach is efficient, feasible, and conducive to enhancing the efficiency of national image resources recommendation. It offers a novel research paradigm for targeted international communication of national images.