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Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split.
In the preprocessing.py,
unique_uid = user_activity.index
unique_uid is the index of active user rather than the uid (unique_uid['userId']). Owing to the filter operator before, some userId are moved out. Then some valid userId at the end will not be considered if we adopt the index of user_activity rather than the actual uid. I guess it might be a error or is there any other meaning of that?
Looking forward to your reply, Thanks.
Best.
The text was updated successfully, but these errors were encountered:
Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split.
In the preprocessing.py,
unique_uid
is the index of active user rather than theuid
(unique_uid['userId']
). Owing to the filter operator before, someuserId
are moved out. Then some validuserId
at the end will not be considered if we adopt the index ofuser_activity
rather than the actualuid
. I guess it might be a error or is there any other meaning of that?Looking forward to your reply, Thanks.
Best.
The text was updated successfully, but these errors were encountered: