Brand Prediction for 5G Mobile Replacement Based on XGBoost
According to the"December 2023 Domestic Mobile Phone Market Operation Analysis Report"released by the China Academy of Information and Communications Technology,shipments of 5G mobile phones in the domestic market reached 82.8％of the total mobile phone shipments during the same period in 2023,marking an increase of 11.9％.As 5G technology continues to proliferate globally and shipments of 5G mobile terminals rise steadily,the competition among major enterprises has notably intensified.Accurately predicting consumer preferences for 5G terminal brands during upgrades has become a critical area of focus for business research.Accounting to these issues,users'personal data and historical behavior to select key features were thoroughly preprocessed and analyzed.XGBoost model combined with Bayesian optimization to was used to develop a predictive model that could accurately determine users'preferred brands for their 5G terminal replacements.The results show that this model achieves high accuracy in forecasting consumer brand preferences in the 5G terminal replacement market.This capability allows enterprises to craft precise marketing strategies aimed at enhancing user retention,thereby significantly boosting their competitive edge in the market.
user behavior predictionmobile phone brandXGBoost modelmachine learning
万方数据
维普
