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I notice that in the code of item recommendations, both dynamic negative sampling and irgan generator is trained by a single user one iteration. In my perspective of view, this training strategy is same to setting the training batch size as 1, which is not quite weird for me. Could you please explain the reason why you choose the training strategy that way? Thanks.
The text was updated successfully, but these errors were encountered:
I notice that in the code of item recommendations, both dynamic negative sampling and irgan generator is trained by a single user one iteration. In my perspective of view, this training strategy is same to setting the training batch size as 1, which is not quite weird for me. Could you please explain the reason why you choose the training strategy that way? Thanks.
The text was updated successfully, but these errors were encountered: