Comments (6)
Same issue on macOS with OpenMP enabled:
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It's possible that the logistic and BPR losses rely more on item popularity (encoded in item biases) than WARP, and so the head and the tail of the list will have a large overlap between users. Can you check if the recommendations start changing beyond the first 10 or 20?
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The issue persists after 25 recommendations:
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I confirm there is an issue with the BPR loss. I will be pushing a fix this week and will keep you posted.
In the meantime, please use the WARP loss.
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Thanks for the fix @maciejkula! When can I expect a new release on Pypi? :)
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Out now, v1.11.
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