outside-BUPT

Code on Ml-20m can't achieve the same performance as in paper

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my result: hit@1:0.2399， ndcg@5:0.393, hit@5:0.536, ndcg@10:0.4379=, hit@10:0.6718, ap:0.3794 result from paper: hit@1:0.3440 ， ndcg@5:0.4967, hit@5:0.6323, ndcg@10:0.5340, hit@10:0.7473, ap:0.4785

I modified the code based on https://github.com/graytowne/caser_pytorch and ran it on ML-1M dataset but the end result is not ideal. The summary of the running results is as follows: hit@10:0.622...

Hi, thanks for your excellent work. When i run the code, the following error occurred E tensorflow/stream_executor/cuda/cuda_blas.cc:652] failed to run cuBLAS routine cublasGemmBatchedEx: CUBLAS_STATUS_NOT_SUPPORTED 2021-07-22 23:05:32.120816: E tensorflow/stream_executor/cuda/cuda_blas.cc:2574] Internal: failed...

I run this command: $python run.py ../GRU4Rec_TensorFlow_beauty/data/train.tsv -t ../GRU4Rec_TensorFlow_beauty/data/valid.tsv -m 1 5 10 20 \ -ps loss=bpr-max,final_act=elu-0.5,hidden_act=tanh,layers=100,adapt=adagrad,n_epochs=10,batch_size=32,dropout_p_embed=0.0,dropout_p_hidden=0.0 But I get this error: WARNING (theano.tensor.blas): Using NumPy C-API based implementation for...