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阿里移动推荐算法新人赛源代码

20170513 Update:
1.提交第一个版本的源代码
2.F1 0.45%

20170514 Update:
  1.修改代码文件data_preprocess.py,剔除所有不在商品子集中的商品
  2.对特征值进行log1p避免特征值差异无谓的过大导致分类器参数泛化能力太弱
  3.测试后发现第1点的修改会导致预测结果变差,然后修改为在商品全集上训练和预测,将预测结果不在商品子集中的用户商品对删掉
  4.F1 4.77%

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