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guyulongcs aimetrics lsq357 inpiredhss lc123623 jianzhu zhanglangjd 2012fang jaimx hrwleo muzangyu buctdarkness bjjackingdefer's Issues
about multi task learning and delay_win_select_loss
你好,最近在调研cvr相关论文,看到你的文章,非常admire your work,但有很多细节想咨询。
在论文4.5中提到你们使用了多目标的方式构造神经网络,并且举出一个例子,比如归因后期是7天,目标窗口选择为1,3,5,那么倒数第四天的数据只用来更新p(z<1,y=1 | x ) 和 p(z<3,y=1 | x )的参数。
然而在代码中没有相关注释,看起来比较费解,想问:
1、上面这个case数据集构造是在哪个部分,并且比较疑惑main函数,defer方法入口是哪一个
2、在delay_win_select_loss中,我观察到label是有13维,这么多维是怎么构造的呢,像label_00,label_01,label_10,label_11是什么意思呢
3、哪个地方是来解决“只用来更新p(z<1,y=1 | x ) 和 p(z<3,y=1 | x )的参数”的问题呢
希望看到能给予解答,另外还有一些细节问题想问,可以添加微信吗
Add a reference to our repo
Hi,
I'd like to remind you to add a reference to our code.
https://github.com/ThyrixYang/es_dfm
The sequential testing framework and the baselines are modified from our work.
Thanks!
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