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 , NDCG@10 = 0.481
The above evaluation metrics are much lower than those reported in the paper：
Hit@10 = 0.7886, NDCG@10 = 0.5538
I was wondering whether the difference was made due to my negligence. Could you please share your code. Looking forward to your reply! Thanks!
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 , NDCG@10 = 0.481
The above evaluation metrics are much lower than those reported in the paper：
Hit@10 = 0.7886, NDCG@10 = 0.5538
I was wondering whether the difference was made due to my negligence. Could you please share your code. Looking forward to your reply! Thanks!