Scenario Aware Recommendation Algorithm Based on School Enterprise Cooperation

School enterprise cooperation is an important way for enterprises to obtain external innovation resources, which is of great significance for enterprises to realize industrial technology upgrading and improve competitiveness. However, in the process of promoting school enterprise cooperation, it is not easy for technology brokers to match appropriate University experts for enterprises. The large group of experts is the main reason for the problems. At present, there is a platform in the market to provide services matching experts, but its functions can not fully meet the needs of technology brokers to promote school enterprise cooperation in some scenarios. The main idea of this paper is to use the system to understand the past history and current situation, and to predict the future situation. We have implemented the algorithm on our own research platform. Users can explore different scenarios by changing parameters (such as user preferences, interests and other factors). In addition, we also provide an easy-to-use interface that allows users to simulate various scenarios using real data in the system.