About hit radio@50 in the evaluation of AttRec

[blcunlp]

hi, In the evaluation process of AttRec, when calculating the recommendation item rank of each user, why use the negative items instead of all items? this code in: DeepRec/utils/evaluation/SeqRecMetrics.py--->def evaluate1(self)

In my understanding, It should be to calculate the score of each user and all items, then rank them, and finally take the top 50 to calculate HT@50.

Calculate it the way the code says, it does not have any positive items in the prediction process.

[cheungdaven]

Usually, we only consider recommending those items that the user has never seen. If an item is liked by the user, we don't want to repeatedly recommend it to him.