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SASRec performance is inferior than BPR-MF!

Open ltz0120 opened this issue 4 years ago • 4 comments

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 https://github.com/duxy-me/ConvNCF.

ltz0120 avatar Sep 07 '20 03:09 ltz0120

It's not normal, SASRec should significantly outperform BPR-MF on the datasets you mentioned. This is also observerd in many many other follow-up works like BERT4Rec (https://arxiv.org/pdf/1904.06690.pdf).

kang205 avatar Sep 09 '20 04:09 kang205

Hi, I calculated the "real hit rate", which is to predict the probability of all items appearing in the next-item position. The training hit rate@10 of the movielen-1m dataset is only 0.15. Is it normal? (epochs 800)

If I split it into a training set and a test set, the top 10 hit rate is only 0.03. It seems to be extremely low.

BEbillionaireUSD avatar Feb 08 '21 16:02 BEbillionaireUSD

It's not normal, SASRec should significantly outperform BPR-MF on the datasets you mentioned. This is also observerd in many many other follow-up works like BERT4Rec (https://arxiv.org/pdf/1904.06690.pdf).

I have the same question.Can you provide me with the baseline model code?

conquerSelf avatar Mar 05 '21 02:03 conquerSelf

Hi, I calculated the "real hit rate", which is to predict the probability of all items appearing in the next-item position. The training hit rate@10 of the movielen-1m dataset is only 0.15. Is it normal? (epochs 800)

If I split it into a training set and a test set, the top 10 hit rate is only 0.03. It seems to be extremely low.

I got the similar result with ranking all items.

youngzw avatar Mar 09 '22 07:03 youngzw