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**描述这个 bug**
在RecBole-DA当中,使用CL4SRec方法,添加了对比学习的方法(CL+SAS) 比没有添加对比学习方法(SAS)要差很多
**如何复现**
复现这个 bug 的步骤:
下载ReBole-DA, 之后执行
1 对比学习的方法:python run_seq.py --model CL4SRec --dataset=ml-1m/python run_…
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Your experiments diccuss on ml-1m dataset . But when I run your command program "python run_train.py --dataset=ml-1m --model=SASRec --method=CL4SRec --gpu_id=0", I get an error
"\recbole\data\datalo…
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I use the source code provided here. Download the ml-1m dataset, just run sh duorec.sh
I can't get the result as the paper.
More interesting, the baseline use BPR loss as the main objective whi…
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Hi,
Thank you for your amazing efforts. I've been trying to replicate the results of the paper titled "PSAC: Proactive Sequence-Aware Content Caching via Deep Learning at the Network Edge" using your…
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The paper claims that "We implement SASRec, CL4SRec, ICLRec, and APGL4SR based on the framework provided by ICLRec3 ,other baselines are implemented with RecStudio[28] and RecBoleGNN[68]". However, I …
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Hello, I am very interested in your paper 《Contrastive Learning for Sequential Recommendation》. However, I have some questions when reproducing the experiments. The baseline model I reproduced is cons…
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Thank you very much for your great work.
I compared the accuracy of the two models (SASRec and CL4SRec in your code) in Amazon-beauty, and SASRec was superior.
Empirically, contrastive learning ba…
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请问RecBole-DA是不维护了吗,里面并没有文档里说的CauseRec等模型,问题也无人回复
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I recently read your paper and found it to be an interesting and informative read. However, I have some concerns regarding the experiment results presented in your paper.
Upon reviewing your experi…
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When training the sequential models such as `CL4SRec`, after a few epochs of training, I'm getting nans for the `batch_loss and rec_loss`. For instance see the output below:
```
## CL4SRec
Epoch:…