Similar recommendation results for different users by MKR

[JamesTensor]

hi，great job! I use MKR on my own food dataset.The last epoch assessment as follows: train auc: 0.9210 acc: 0.8376 eval auc: 0.9122 acc: 0.8310 test auc: 0.9118 acc: 0.8308. But the recommend results for different user are similar, like this:[1, 2, 4, 6, 7],[1, 4, 6, 7, 11], [1, 4, 6, 7, 14], [1, 4, 6, 16, 18], [6, 7, 11, 12, 14]. I only change the default setting with the n_epochs=10 and batch_size=256 on your book case. what is the trouble？Thanks for your reply.

[myh1234567]

hi，great job! I use MKR on my own food dataset.The last epoch assessment as follows: train auc: 0.9210 acc: 0.8376 eval auc: 0.9122 acc: 0.8310 test auc: 0.9118 acc: 0.8308. But the recommend results for different user are similar, like this:[1, 2, 4, 6, 7],[1, 4, 6, 7, 11], [1, 4, 6, 7, 14], [1, 4, 6, 16, 18], [6, 7, 11, 12, 14]. I only change the default setting with the n_epochs=10 and batch_size=256 on your book case. what is the trouble？Thanks for your reply.

解决了吗