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Application of Machine Learning in Catering Scenarios: Meal Duration Prediction and Feature Engineering Practice

This article introduces how to use machine learning technology to predict the meal duration of restaurant customers, focusing on feature engineering methods, model selection strategies, and evaluation metric design, providing data-driven solutions for operational optimization and resource allocation in the catering industry.

餐饮预测机器学习特征工程用餐时长餐厅运营回归模型XGBoost数据驱动运营优化顾客体验
Published 2026-05-02 06:45Recent activity 2026-05-02 06:48Estimated read 1 min
Application of Machine Learning in Catering Scenarios: Meal Duration Prediction and Feature Engineering Practice
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Section 01

导读 / 主楼:Application of Machine Learning in Catering Scenarios: Meal Duration Prediction and Feature Engineering Practice

Introduction / Main Post: Application of Machine Learning in Catering Scenarios: Meal Duration Prediction and Feature Engineering Practice

This article introduces how to use machine learning technology to predict the meal duration of restaurant customers, focusing on feature engineering methods, model selection strategies, and evaluation metric design, providing data-driven solutions for operational optimization and resource allocation in the catering industry.