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Prediction and Evaluation Method of e-Commerce Service Satisfaction Based on Intelligent Computing Method.

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  • 1Jiangxi Engineering Vocational College, Jiangxi Open University, Jiangxi 330046, China.

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This summary is machine-generated.

Intelligent computing algorithms offer superior performance for predicting e-commerce service degrees. This method enhances regional economic competitiveness by analyzing factors like merchant service and logistics satisfaction.

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Area of Science:

  • * E-commerce and Intelligent Systems
  • * Regional Economic Development Strategies

Background:

  • * Rapid growth of the e-commerce sector, driven by internet platforms and third-party models.
  • * Localities are implementing e-commerce development strategies to boost regional economic competitiveness.
  • * E-commerce expansion creates a conducive environment for the spatial agglomeration of related service industries.

Purpose of the Study:

  • * To evaluate the performance of intelligent computing methods in predicting e-commerce service degrees.
  • * To compare the stability and accuracy of intelligent computing against fuzzy statistical algorithms.
  • * To identify key indicators for logistic satisfaction and merchant service quality.

Main Methods:

  • * Application of intelligent computing methods for e-commerce service degree prediction.
  • * Development of a logistic satisfaction evaluation index system, identifying primary and secondary indicators.
  • * Comparative analysis of intelligent computing and fuzzy statistical algorithms using experimental data.

Main Results:

  • * Intelligent computing and fuzzy statistical models demonstrated stable performance curves and experimental results.
  • * Intelligent computing algorithms exhibited superior performance, achieving the highest accuracy rates (up to 93.27%).
  • * Key indicators for e-commerce service include merchant after-sales service, popularity, customer service attitude, and logistics satisfaction (speed, safety, attitude, price).

Conclusions:

  • * Intelligent computing algorithms are highly effective and stable for predicting e-commerce service degrees.
  • * The developed evaluation system highlights crucial factors for enhancing e-commerce service quality.
  • * Optimizing merchant services and logistics is vital for improving overall e-commerce competitiveness.