Research on user behavior prediction model of energy industry e-commerce platform based on big data analysis
In recent years,big data technology has shown a rapid development trend,and its application scope in various fields continues to expand.Based on this background,in order to improve the operational efficiency of e-commerce platforms,enhance user experience,and gain competitive advantages in the highly competitive market,this paper explores and develops a user behavior prediction model of e-commerce platforms in the energy industry based on big data analysis.Specifically,it collects user behavior data of large-scale e-commerce platforms,and constructs a powerful user behavior prediction model through data preprocessing,feature engineering and machine learning modeling.The model verification results based on real e-commerce platform data show that the model constructed in this paper has excellent performance in user behavior prediction,with high accuracy and recall rate.
big data analysisenergy industrye-commerce platformuser behaviorprediction model
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