SASRec
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kang205
SASRec: Self-Attentive Sequential Recommendation
Hello. Your data preprocessing code seems to only regard beauty reviews. Can you also provide the code for preprocessing ml1m data? Thank you.
```python # Self-attention self.seq = multihead_attention(queries=normalize(self.seq), keys=self.seq, num_units=args.hidden_units, num_heads=args.num_heads, dropout_rate=args.dropout_rate, is_training=self.is_training, causality=True, scope="self_attention") ``` [https://github.com/kang205/SASRec/blob/e3738967fddab206d6eeb4fda433e7a7034dd8b1/model.py#L54](url) Thank you!
I find the performance of SASRec is inferior than BPR-MF on some sparse dataset like Amazon beauty, game, and steam dataset. Is it normal? I use the BPR-MF baseline form...
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...
Thanks to your outstanding work. But I still have some question about data. When I open the Amazon dataset website, I find that the data have been updated in 2018....
In the evaluate function, it makes a item_index list and put the test[u][0] in it. What I consider is that the test[u][0] should be what we want to predict, but...
Hello! I am currently working on CTR and Sequential Recommendation Tasks. I see many recent papers like TallRec uses AUC to compare their result with SASRec. I am really curious...
I my name is Mauro, and I am a computer science student. I am trying to run your code of SASRec, but I have troubles due to the versions of...
