Model Metric Question in Sequence Recommendation

[Afar8612]

Hello, when I used the Sequential Recommendation Model to evaluate, I found that when I used the @Hit index and the @Recall index in the library to evaluate, what is the reason why the results are exactly the same when the calculation methods of the two are completely different?

[Fotiligner]

@Afar8612 Thanks for your attention to RecBole! For your issue, the hit rate means the ratio of items in the predicted rank list that falls in ground-true set, while the recall index refers to the ratio of items in the ground-true set that falls in the predicted rank list. Since the number of items in gournd-true set and predicted rank list are the same within the calculation of recall@k and hits@k, the final results would be the same.