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January 23, 2026Engineering ReportsOpen Access

Pricing Mechanism of Personal Data Trading Based on Multi‐Dimensional Dynamic Model

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Authors

YZYing Zhang

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Overview

Demonstrates a dynamic pricing mechanism for personal data, indicating improved pricing accuracy and efficiency.

Key Points

  • The central aim is to develop a dynamic pricing mechanism that accurately evaluates personal data prices based on various factors.
  • Proposed a multi-dimensional dynamic pricing model.
  • Analyzed multiple pricing factors and their impact on data pricing.
  • Conducted experiments to compare the new model against traditional pricing methods.
  • Achieved a pricing deviation of only 129 yuan, about 2.5% from actual values.
  • Reduced maximum error by 2.5 and root mean square error by 2.2 compared to traditional methods.
  • Improved computational efficiency with a runtime decrease of 296.10 milliseconds.
  • Increased F1 score by 14.29 points and recall rate by 14.90 points, indicating better model performance.

Cite This Study

Ying Zhang (2026) studied this question.

synapsesocial.com/papers/6973106cc8125b09b0d20223https://doi.org/10.1002/eng2.70572
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