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Fix: Correct item counting in Pop recommender for duplicate items in batches #2199

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Fix: Correct item counting in Pop recommender for duplicate items in batches #2199

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4 changes: 3 additions & 1 deletion recbole/model/general_recommender/pop.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,9 @@ def forward(self):

def calculate_loss(self, interaction):
item = interaction[self.ITEM_ID]
self.item_cnt[item, :] = self.item_cnt[item, :] + 1
# Use scatter_add_ for proper accumulation of duplicate items in batch
ones = torch.ones_like(item).unsqueeze(1).to(dtype=self.item_cnt.dtype)
self.item_cnt.scatter_add_(0, item.unsqueeze(1), ones)

self.max_cnt = torch.max(self.item_cnt, dim=0)[0]

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