+new_data 1.7 GB
|+tmp 831.0 MB
| .Rhistory 14.1 KB
| media_index.csv 489.0 MB
| media_index1.csv 438.0 MB
| mediamatch_userevents_50y.csv 975.0 KB
| mmconsume_billevents.csv 17.5 MB
| mmconsume_payevents_50y.csv 9.4 MB
| order_index_50y.csv 6.3 MB
| table_livelabel.csv 150.0 KB
| table_TV.csv 5.4 KB
+Python代码 60.0 KB
| 01数据预处理与探索分析.py 9.7 KB
| 02media标签构造.py 13.6 KB
| 03billeventsb标签构造.py 6.7 KB
| 04order标签构造.py 2.7 KB
| 05payevents标签构造.py 2.0 KB
| 06userevents标签构造.py 2.6 KB
| 07客户价值分析.py 6.8 KB
| 08协同过滤推荐模型.py 7.3 KB
| 09体育节目信息的爬取.py 3.6 KB
| 10Tagbased TF-IDF算法、流行度推荐.py 5.0 KB
广电大数据营销推荐项目0725.pdf 3.9 MB