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Issues list

Alibaba数据集
#61 opened Feb 28, 2024 by wristlong
Amazon Beauty has user profile information?
#60 opened Dec 7, 2023 by nagas1226
pytorch
#59 opened Sep 5, 2023 by huangyingjuner
1
split_by_user.py的脚本有问题吧？
#58 opened Jan 13, 2023 by peterzhang2029
1
可以分享下 Electronics 和 Industrial dataset 处理代码吗
#57 opened Jan 4, 2023 by hecongqing
1
I cant't find reviews-info in the data2.tar.gz? Can you reupload the reviews-info data,Thank you.
#56 opened May 30, 2022 by LOVEOuziyan
1
QUESTION
#54 opened Oct 26, 2021 by Data-Designer
请问一下这个amazon数据集怎么分成Electronics和Books两个子数据集呢？
#53 opened Oct 16, 2021 by JeremyChou28
1
Perform steps 2 to 5 in the prepare_data.sh file, but the reviews_Books_5.json file required in step 6 is not available.
#52 opened Sep 16, 2021 by ACnoWA
1
About "queries-facts" and softmax in din attention part
#51 opened Aug 19, 2021 by xfpg21421
No module named 'cPickle'
#50 opened Aug 13, 2021 by zhonhel
5
problem at fcn inputlayer：concat u_h_embedding sum pooling with AUGRU state
#48 opened Jun 18, 2021 by hugstone
how to run the code on gpu
#47 opened Jun 5, 2021 by outside-BUPT
有没有朋友能教一下怎么跑通这个程序啊？
#46 opened Apr 2, 2021 by Xinxin1119
2
I got a super overfitting problem when I train DIN
#44 opened Mar 16, 2021 by Laugigabyte
embedding size
#43 opened Jan 30, 2021 by CRYSTAL3722
which version of tenserflow should install to run train.py
#41 opened Oct 21, 2020 by liumiao-p
2
无法复现到论文结果
#40 opened Sep 20, 2020 by PamelaDDD
4
din_attention中是否需要softmax归一化？
#39 opened Aug 21, 2020 by codefish1990
过拟合问题
#38 opened Jul 7, 2020 by cookie54sun
2
On difference between experiment setting of DIN and DIEN
#37 opened May 30, 2020 by ThyrixYang
batch_normalization 为啥不传入training字段啊，
#36 opened May 16, 2020 by lihairui1990
8
The historical behavior length problem
#35 opened Apr 17, 2020 by wytzzz
The implementation of the Attention function is different from the description in the paper.
#34 opened Nov 13, 2019 by alanse7en
It seems that global step (tf.train.get_global_step) has not been increased. Current value (could be stable): 0 vs previous value: 0. You could increase the global step by passing tf.train.get_global_step() to Optimizer.apply_gradients or Optimizer.minimize.
#33 opened Nov 6, 2019 by mztkenan
ProTip! Find all open issues with in progress development work with linked:pr.