Research on data preprocessing method for artificial intelligence algorithm based on user online behavior


  • Zhiyuan Liu



User online behavior, Data preprocessing, Artificial intelligence algorithms, Data quality


This paper delves into the significance and efficacy of data preprocessing techniques specifically tailored for user online behavior data in enhancing the performance of artificial intelligence algorithms. Through a comprehensive literature review, we identify gaps and opportunities in current methodologies, setting the stage for the development of a novel data preprocessing approach. This proposed method is meticulously designed to handle the complexities and nuances of user online behavior data. We conduct a series of case studies and rigorous empirical analyses to evaluate the effectiveness of our approach. The results clearly demonstrate that our method substantially improves data quality by effectively reducing noise and eliminating irrelevant information, which, in turn, enhances the overall performance of the AI algorithms. The paper concludes with a discussion on the limitations of the current study and provides insightful directions for future research in the field. This includes potential refinements to the preprocessing technique and its application to other types of behavioral data in different AI domains.


Chakoory O, Barra V ,Rochette E , et al.DeepMPTB: a vaginal microbiome-based deep neural network as artificial intelligence strategy for efficient preterm birth prediction. [J].Biomarker research,2024,12(1):25-25.

Khalifa D A, Noora F ,Murat K .Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges[J].Cybernetics and Systems, 2024, 55(2):302-330.

Saad A S, Shayea I ,Ahmed S M N .Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks[J].Alexandria Engineering Journal, 2024, 89125-148.

Liang Y, Li G ,Xu M , et al.An intelligent control method based on artificial neural network for numerical flight simulation of the basic finner projectile with pitching maneuver[J].Defence Technology, 2024,32663-674.

Simona R Joshua E .Blockchain for Artificial Intelligence (AI): enhancing compliance with the EU AI Act through distributed ledger technology. Acybersecurity perspective[J]. International Cybersecurity Law Review, 2024, 5(1):1-20.

Dianshuai D, Hongliang F .Design and use of a wireless temperature measurement network system integrating artificial intelligence and blockchain in electrical power engineering. [J]. PloS one, 2024,19(1):e0296398-e0296398.

Gupta S, Shetty S ,Natarajan S , et al.A comparative evaluation of concordance and speed between smartphone app-based and artificial intelligence web-based cephalometric tracing software with the manual tracing method: A cross-sectional study. [J].Journal of clinical and experimental dentistry, 2024, 16(1):e11-e17.

Juanjuan R ,Salwa S S .Green urban logistics path planning design based on physical network system in the context of artificial intelligence[J].The Journal of Supercomputing, 2023, 80(7):9140-9161.







How to Cite

Liu, Z. (2024). Research on data preprocessing method for artificial intelligence algorithm based on user online behavior. Journal of Computing and Electronic Information Management, 12(3), 74-78.

Similar Articles

1-10 of 87

You may also start an advanced similarity search for this article.