Power user portrait recognition based on feature vector
Ning Wang, Bo Wang, Xiaokang Wang · International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022) · 2022
User portraits were originally used in the field of e-commerce, which refers to the use of big data to analyze the information and behavioral characteristics of existing users. They are to explore user preferences and needs through user information to achieve precise marketing. Power-user portrait is an important measure for a power supply service system to realize "data-driven operation". This paper starts with user characteristics and constructs an improved word vector model for electronic users to describe the behavior characteristics of electronic user groups to bring about correct marketing methods and services. The experimental results show that the improved word vector model can better meet the aggregation needs of data collection such as electricity cost, electricity cost and power loss of users.