Power user portrait recognition based on feature vector

Ning Wang; Bo Wang; Xiaokang Wang

doi:10.1117/12.2659674

30 November 2022 Power user portrait recognition based on feature vector

Ning Wang, Bo Wang, Xiaokang Wang

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 1245624 (2022) https://doi.org/10.1117/12.2659674
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

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.

Citation Download Citation

Ning Wang, Bo Wang, and Xiaokang Wang "Power user portrait recognition based on feature vector", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 1245624 (30 November 2022); https://doi.org/10.1117/12.2659674

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