Research on Key Decision Maker Query Algorithm Based on Enterprise Knowledge Graphs

With the problems of inefficiency and imprecision in reaching customers in traditional marketing methods, precision marketing promotion is crucial for the development of enterprises and brand enhancement. The condition for accurate marketing promotion is to have accurate data, but in the information age, Internet data presents a large amount, diverse and complicated characteristics. For the third-party service platform, how to dig out meaningful data from these complicated data to better realize accurate promotion to customers is a very important issue. Knowledge graph, as a technology for efficiently processing and organizing data, is widely used in the field of data mining and marketing promotion. In order to excavate the key persons with decision-making power of the enterprise and realize the accurate promotion to the target customers, this paper constructs the enterprise association knowledge graph by using the Internet data and the promotion data of the third-party service platform. On this basis, an enterprise key decision maker query algorithm is proposed and experiments are conducted. The results of the experiment can prove that the enterprise key decision maker query algorithm proposed in this paper is effective.