Comments (4)
The problem is solved.
Thanks for your hints.
from bigi.
Hi~, thank your pay attention to our work.
The reason might be that you should re-index the user/item id from 0, then use the pre-processed datasets as input.
from bigi.
Thank you for your reply.
You are right and I'm aware of this problem.
I'm reindexing user/item id from zero, but when I randomly select some user/items for testing, it will be some index removed from training data and cause this problem.
I want to find a way to split user/item ids into two parts for testing and training without this problem happening.
for example, if I have data like this:
1 5
2 6
3 7
4 8
and pick 3 7 for the test, this problem will happen.
from bigi.
You can try this way.
For each user, randomly select his 80% of interactions for training, and others for testing.
If the item id causes the above problem, please repeat the above operation (low probability).
from bigi.
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from bigi.