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高潜用户购买意向预测

写在前面,很抱歉,因为签订保密协议无法开源代码,以后有机会再说

本次大赛以京东商城真实的用户、商品和行为数据(脱敏后)为基础,参赛队伍需要通过数据挖掘的技术和机器学习的算法,构建用户购买商品的预测模型,输出高潜用户和目标商品的匹配结果,为精准营销提供高质量的目标群体。 对每一个用户的预测结果包括两方面:该用户2016-04-16到2016-04-20是否下单P中的商品;如果下单,下单的sku_id。


R

  1. Explore.r 数据探索
  2. Feature.r 特征提取
  3. Evaluate.R 评测函数
  4. 特征分析.md
  5. Feature_all.R 特征提取
  6. Feature.r 特征提取

python

Evaluate.py 评测函数 Model_Pre.py 训练 Model.py 训练

scala

  1. JDDateFormat.scala Spark进行数据预处理(时间转换)
  2. JDDataSQL.scala SparkSQL进行统计

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