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Hi. On Amazon Beauty, I was able to get around 0.01 Recall @ 10, which is unfortunately still far from the paper's claimed 0.06.
I am focusing on Beauty to have a stable development setup to debug and have not tested the performance on other splits.
I plan to carry a thorough evaluation and possibly extend to other datasets when I will be able to match the performance from the paper on Beauty.
I really appreciate your efforts in reproducing TIGER. May I ask what results you have obtained so far in Amazon datasets? Sincere thanks!
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