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I'm wondering if we could get the hyper-parameter settings for other datasets (e.g. Beauty, Steam), and if there are some suggestions for hyper-parameters tuning (e.g. item/user_threshold)?
Looking forward to your reply and thanks in advance!
The text was updated successfully, but these errors were encountered:
I wrote down the hyper-parameters back then in 2019 but I have not touched the codes for a while now... and my Google cloud instances got shut down already, so I am not sure if I can find them right now.... but I don't think it is that hard to tune parameters to get the results in the paper. sorry!
I am also facing the same issue on the Games dataset. I tried different configurations but the best performance achievable is
HR@10 = 0.748 , NDCG@10 = 0.545 which is the same as SASRec. Is it possible to share with us the best parameter you used on this dataset in order to replicate your results?
Thanks for this nice work!
I'm wondering if we could get the hyper-parameter settings for other datasets (e.g. Beauty, Steam), and if there are some suggestions for hyper-parameters tuning (e.g. item/user_threshold)?
Looking forward to your reply and thanks in advance!
The text was updated successfully, but these errors were encountered: