neural_collaborative_filtering

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errors in NeuMF

2

mlp_vector = merge([mlp_user_latent, mlp_item_latent], mode = 'concat') ValueError: Shape (2, ?, ?) must have rank 0 how to solve this problem

Amelia0312

m-ochi

move id issue

1

Hi, can i get the script code for hasing movie id? I want to get performance of NCF by domain(genre or popularity), so i have to get original id from...

teang1995

chenchuang11

Your evaluation method is unreasonable

7

It's unreasonable to blend the items in test data with negative samples. It contradicts the rule that your evaluation input shouldn't have a knowledge of the test data. I think...

HaoZhang534

Pinterest dataset

11

Hi, By any chance are you able to provide the train-test splits for Pinterest dataset used in the paper. Would really appreciate it! Thanks!

vanzytay

Hello, @hexiangnan First of all, thank you for sharing your codes for many reviewers. I reviewed your codes, and explored preprocessed data in `Data` folder. I find some strange thing;**duplicated...

swyo

Low volatile GPU-Util but high GPU Memory Usage

2

When I run MLP.py ,GMF.py or ,NeuMF.py with my GPU (_GTX 1080_), the memory of which is fulled while the volatile GPU-Util are always around 20%. And the time-spending with...

deipss

when run your code , it occurs some problems.

5

Connected to pydev debugger (build 182.4323.49) Using Theano backend. MLP arguments: Namespace(batch_size=256, dataset='ml-1m', epochs=100, layers='[64,32,16,8]', learner='adam', lr=0.001, num_neg=4, out=1, path='Data/', reg_layers='[0,0,0,0]', verbose=1) Load data done [46.5 s]. #user=6040, #item=3706, #train=994169,...

sshzhang

Question about obtaining the embedding.

1

Hi, thanks for your great work! I am a little bit confused about the usage of the embedding layers. Since we have two different embedding vectors for both the user...

Zonghan666