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yiguan's Introduction

易观总结

比赛链接 最终11名/110。 目的:根据用户安装手机app,以及使用手机的时间信息来预测用户的性别、年龄(分为0-10个区间)。

1、特征工程

主要有设备数据、APP数据、机型数据、应用时间数据,处理有

(1)把用户使用App的时间戳信息转化为,开始/结束时间对应的hour;并对用户所有使用APP时间时长进行存储为稀疏矩阵(量大);

(2)统计每个用于使用时长前5的APP;

(3)由于用户使用APP数目较多,使用LDA进行降维.

2、模型

lightgbm好处:

(1)能处理类别信息;

(2)能高效处理稀疏矩阵(bundle来捆绑互斥特征);

(3)leaf-wise growth 策略,只选用所有叶节点增益最大的进行分裂;

(4)数据并行、特征并行。

尝试:深度学习DNN网络

3、trick

使用贝叶斯公式,先进行预测识别在预测年龄。

yiguan's People

Contributors

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