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rbm-movie's Introduction

RBM-movie

基于受限玻尔兹曼机（RBM）的电影推荐系统实例

前言

本项目代码是基于Deep Learning with TensorFlow IBM Cognitive Class ML0120EN的文章代码实现， 使用http://grouplens.org/datasets/movielens/1m的电影数据集进行训练，并对目标用户进行推荐

目录

  • 数据预处理（dat转csv）
  • 数据预处理（csv转dict）
  • RBM模型训练
  • RBM模型预测（给目标用户推荐）

快速开始

请自行下载数据集http://grouplens.org/datasets/movielens/1m，解压到data/目录中

  • 数据预处理（dat转csv）
    python datprocess.py <dat path> <csv path>
    
    如：python datprocess.py ./data ./data
  • 数据预处理（csv转dict）
    python csvprocess.py <csv path> <dict path>
    
    如：python csvprocess.py ./data ./data
  • RBM模型训练
    python train.py <dict path> <model path>
    
    如：python train.py ./data ./data
  • RBM模型预测（给目标用户推荐）
    python predict.py <dict path> <model path> <log path> <user id>
    
    如：python predict.py ./data ./data ./data 1

其他

我的github：https://github.com/JonLagrange

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Contributors

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