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This is good job. However, we always use BPRLoss rather than HingeLoss in pairwise learning to rank since the margin of HingeLoss is hard to tune. So I wonder whther you have tried the BPRLoss?
The text was updated successfully, but these errors were encountered:
This is good job. However, we always use BPRLoss rather than HingeLoss in pairwise learning to rank since the margin of HingeLoss is hard to tune. So I wonder whther you have tried the BPRLoss?
The text was updated successfully, but these errors were encountered: