如何用 XGBoost 等方法应对新品销量预测的冷启动问题

Advice on dealing with Cold Start forecasting [D]

AI 导读

有开发者在新品上市销量预测中遇到冷启动问题，现有方案是用 XGBoost 回归器基于历史数据训练，但团队对该方法缺乏信心。可用数据仅包括产品属性、各区域月度发票数据、天气数据和部分宏观经济数据，发帖者就此征求改进思路。

正文

Hey everyone. I am dealing with a problem statement at work where the goal is to predict the sales of a new innovation to be launched. Note that the data that I actually have is just product attributes, the month level invoice data for each region, weather data and some macroeconomic data. Currently there is a methodology in place where we are using a xgboost regressor trained on the historical data for this prediction, but no one in the team is very confident in the methodology.

Given this, does anyone have advice on how we could go about this problem? Please do let me know if you've dealt with the same or similar problem statement.

submitted by /u/Nice-Job67
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