Thanks for sharing this great repository! I'm currently researching recommendation systems and have a quick question about your evaluation setup.
I noticed that you use [100] negative samples for the evaluation. I'm curious about the reason behind choosing this specific number, especially since I've seen other papers use 1000 samples or even perform full-item evaluation ("all").
Is it primarily to ensure a fair comparison with previous baselines, to reduce computational cost, or are there other specific reasons for this choice?
I'd love to hear your thoughts if you have a moment. Thanks!
Thanks for sharing this great repository! I'm currently researching recommendation systems and have a quick question about your evaluation setup.
I noticed that you use [100] negative samples for the evaluation. I'm curious about the reason behind choosing this specific number, especially since I've seen other papers use 1000 samples or even perform full-item evaluation ("all").
Is it primarily to ensure a fair comparison with previous baselines, to reduce computational cost, or are there other specific reasons for this choice?
I'd love to hear your thoughts if you have a moment. Thanks!