Research on the construction and application of mobile application user data portrait based on improved K-means algorithm

Ping Zhou; Bowei Duan; Hang Tian; Feilong Liu; Xijing Li

doi:10.1117/12.3012025

7 December 2023 Research on the construction and application of mobile application user data portrait based on improved K-means algorithm

Ping Zhou, Bowei Duan, Hang Tian, Feilong Liu, Xijing Li

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294110 (2023) https://doi.org/10.1117/12.3012025
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

At present, in the promotion and popularization of mobile applications, the application of user profiling technology is difficult and inefficient. In order to deepen the application of user profiling technology and reduce the difficulty of using user profiling technology, this paper proposes a hierarchical clustering user profiling construction model based on the improved K-means algorithm. The model focuses on constructing mobile application user features through hierarchical clustering algorithms to improve the computational speed and accuracy of user profiling model construction. Finally, the model is experimentally validated using a high-voltage power user sample set in the field of power marketing, The experimental results indicate that the hierarchical clustering user profile model can effectively improve the accuracy and computational speed of clustering and profile construction applications, making contributions to the promotion and application of user profile technology in power enterprises.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ping Zhou, Bowei Duan, Hang Tian, Feilong Liu, and Xijing Li "Research on the construction and application of mobile application user data portrait based on improved K-means algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294110 (7 December 2023); https://doi.org/10.1117/12.3012025

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KEYWORDS

Industrial applications

Covariance matrices

Power supplies

Profiling

Detection and tracking algorithms

Reflection

Algorithm development

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