Comments (2)
Hi, Sorry for the late reply. Regarding your questions
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For there GMF, what you described is correct. But for NeuMF, according to Equation (12) in the paper, there is no such layer.
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Good question! I think, in Section 3.4.1 of the paper, the authors talked about pre-training in NeuMF. In my experiments, I found pre-training generally help the model converge earlier though not necessarily at a better performance.
from neural-collaborative-filtering.
Hi,
- Thank you for pointing that out, I have analyzed a paper and finally noticed it.
- I will take that into consideration and try to recreate them.
Thank you for your answers and putting some light on those matters!
from neural-collaborative-filtering.
Related Issues (19)
- AssertionError: CUDA is not available HOT 4
- Add LICENSE.txt
- the performance of ncf in hr@10 didn't achieve 0.7 HOT 4
- NeuMF algorithm HOT 1
- L2 regularization HOT 1
- Does hyper parameter "l2_regularization" works? I didn't find anywhere in "mlp.py" related to this parameter
- size mismatch for fc_layers
- ModuleNotFoundError: No module named 'tensorboardX'
- The NDCG metric HOT 3
- AssertionError
- The GPU utilization is low HOT 2
- The code implementation does not match the original paper HOT 4
- 'checkpoints/gmf_factor8neg4_Epoch100_HR0.6391_NDCG0.2852.model' HOT 12
- How to apply NCF to datasets that only have the number of interactions? HOT 9
- question about the version of pytorch HOT 8
- 0 NDCG and HR for training NeuMF and GMF HOT 2
- Test Dataloader for large dataset. HOT 4
- Wrong Neumf config ? HOT 1
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