简单的实现推荐系统的召回模型和排序模型,其中召回模型使用协同过滤算法,排序模型使用gbdt+lr算法
使用的数据为ml-100k的数据, data_process.py 为数据处理脚本 gbdt_lr.model 为gbdt和lr的排序模型的训练脚本 cf_gbdt_lr_prdict.py 为融合ALS和gbdt_lr整体的预测,其中ALS为召回模型
This project forked from wuxinping1992/cf_gbdt_lr
简单的实现推荐系统的召回模型和排序模型,其中召回模型使用协同过滤算法,排序模型使用gbdt+lr算法
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