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Hi, I am using both the general model and the context-aware model on my own dataset which only has implicit feedback. As the context-aware model uses the item feature, I would suppose the context-awa…
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**描述这个 bug**
我使用NFM、LightGBM模型的时候,会遇到如下错误:
```
File "/home/abc/anaconda3/envs/kaggle/lib/python3.9/site-packages/recbole/data/interaction.py", line 131, in __getitem__
return self.interact…
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**描述这个 bug**
CPU 可以正常跑,但GPU 环境会报错
recbole/evaluator/evaluators.py", line 77, in collect
result = torch.cat((topk_idx, shape_matrix), dim=1)
RuntimeError: Expected object of scalar type Long …
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Hi, thanks for sharing such a awsome project.
I have run a benchmark for the TG-ReDial dataset using KGSF. However, something went wrong with the code.
This is the cmd I used and all configurati…
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**Is your feature request related to a problem? Please describe.**
Hi, thanks for the great contribution. I have several pairwise recommendation models I trained using a different library. I want to …
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你好,感谢你们团队做的这个项目,用起来十分方便,但我现在遇到了一个问题,希望得到解答。
我使用DMF模型进行数据的训练,然后在评估模型的时候,我使用的是metrics是rmse和auc,但在计算rmse的时候,感觉值很小,然后我看了一下源代码,我发现rmse的真实值是通过“data.label”获取的,预测值是“rec.score”获得的,但我debug之后发现获得的真实值只有0和1,而预测值是…
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**描述这个 bug**
在运行图嵌入模型LINE时,发现损失的计算过程如下:
```
class NegSamplingLoss(nn.Module):
def __init__(self):
super(NegSamplingLoss, self).__init__()
def forward(self, score, sign):
…
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I used FPMC with the following config. The performance of validation set is like double of test set (overfitting). Any suggestions how should I adjust the config/training parameters?
*** config ***…
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when i try run code on amazon-books datasets base on amazon-books.yaml, the result is vastly different compared with the paper. The pre-procees dataset just contain the 4610 user node and 4138 item no…
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when creating AFM model this error occurs
scores = self.model.full_sort_predict(interaction.to(self.device))
File "/home/harikrishnan/Downloads/recbole_latest/RecBole/recbole/model/abstract_recommen…