recommend_system:推荐系统与深度学习 源码
推荐系统由基础算法到深度学习的应用参考 电影推荐系统 标签:Tensorflow,矩阵分解,惊喜,PySpark 1,用Tensorflow实现矩阵分解 1.1,定义one_batch模块 import numpy as np import pandas as pd def read_and_process ( filename , sep = '::' ): col_names = [ 'user' , 'item' , 'rate' , 'timestamp' ] df = pd . read_csv ( filename , sep = sep , header = None , names = col_names , engine = 'python' ) df [ 'user' ] -= 1 df [ '
文件列表
recommend_system-master.zip
(预估有个34文件)
recommend_system-master
163_music_playlist.txt
0B
基于surprise库和Tensorflow框架的电影推荐.ipynb
9KB
ml-latest-small
ml-latest-small
tags.csv
116KB
ratings.csv
2.37MB
README.txt
8KB
movies.csv
483KB
links.csv
193KB
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