SparrowRecSys issues

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Remove watched movie when generating recommendation movies

fix #42

Add multiple-retrieval candidate generation method with multiple threads

Implement multiple-retrieval candidate generation method with multiple threads. ![image](https://user-images.githubusercontent.com/33833308/149301347-4fdae221-6aab-4c7a-af5f-a4a84ed1565f.png)

sunbuhui

Update DIEN.py

1.修改了GRU中公式计算错误，去除了多余的线性层。 2.修改了positive_loss和negtive_loss定义，解决了损失值合并时可能出现负数的问题。 3.对用GPU训练可能会有问题，model.evaluate返回值接收不正确进行了修改

toyoululu

C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:3:45 java: 程序包org.apache.flink.api.common.functions不存在 C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:4:36 java: 程序包org.apache.flink.api.java.io不存在 C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:5:49 java: 程序包org.apache.flink.streaming.api.datastream不存在 C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:6:50 java: 程序包org.apache.flink.streaming.api.environment不存在 C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:7:53 java: 程序包org.apache.flink.streaming.api.functions.sink不存在 C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:8:55 java: 程序包org.apache.flink.streaming.api.functions.source不存在 C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:9:53 java: 程序包org.apache.flink.streaming.api.windowing.time不存在 C:\Users\xu\Downloads\SparrowRecSys-master\SparrowRecSys-master\src\main\java\com\sparrowrecsys\nearline\flink\RealTimeFeature.java:34:15 java: 找不到符号符号: 类 StreamExecutionEnvironment 位置: 类 com.sparrowrecsys.nearline.flink.RealTimeFeature...

xujian595

DIEN中 auxiliary_loss_layer实现疑问

https://github.com/wzhe06/SparrowRecSys/blob/579577c9a25f75fc6bbdfeb2f258f7c8a35833dd/TFRecModel/src/com/sparrowrecsys/offline/tensorflow/DIEN.py#L261 请问一下auxiliary_loss_layer的实现逻辑是将positive samples 和 negative samples 分别通过两个不同的网络分支，这不会导致每个网络分支输入的样本都只有正例，没有负例，分布极不均衡，达不到训练目的吗？

ZJZhang123