Comments (3)
Hi,did you solve the problem? Could you tell me how ReR metric can be done in KGSF?
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I have not solved this yet. I think ReR(in NTRD) is a little different from Recall@k in KGSF. Since NTRD changes the switching network. NTRD calculate the top-k (k=10, k=50) items of the probability distribution for this position contain the ground truth item. You can refer to this with their original paper in section 5.2.
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but KGSF did not consider recommedation recall in response,so how can rer@k be measured in KGSF. And I'm always confused about the function of recommender module in KGSF. I think it just can fine-tune the knowledge representations of entity and concepts but the recommended items themself are useless since the final recommended items given to the client is controlled totally by the generation module.
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Related Issues (17)
- training manner? two-stage or end2end HOT 3
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