We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
为什么SASrec和BERTrec在ml-1m数据集上的指标在各自论文中相差很大?评估方法我看论文中说的是一致的,请答复,谢谢
The text was updated successfully, but these errors were encountered:
建议把两边代码都跑一遍实际测出来 ml-1m 的结果贴回来看看,请务必这样做,谢谢。
Sorry, something went wrong.
这种以自己测试的为准吗
嗯,是的。细读每篇论文的话会发现各类设定(比如最后是给一个正样本配一百个负样本打分还是直接给所有物品打分)都不见得一样。论文里面通常是设定好自己的 baseline 条件(序列最大长度、负采样方法、负采样比例、评估指标),然后把所有模型放一起在这些条件下对比。
No branches or pull requests
为什么SASrec和BERTrec在ml-1m数据集上的指标在各自论文中相差很大?评估方法我看论文中说的是一致的,请答复,谢谢
The text was updated successfully, but these errors were encountered: