Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

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

Jump to bottom

不进行KGE训练似乎可以得到更好的auc #5

Open
SSSxCCC opened this issue Dec 9, 2019 · 1 comment
Open

不进行KGE训练似乎可以得到更好的auc #5

SSSxCCC opened this issue Dec 9, 2019 · 1 comment

Comments

@SSSxCCC
Copy link

SSSxCCC commented Dec 9, 2019

您好，我在ml1m数据集上，直接运行这份代码时test auc可以达到0.9155，但是当我注释掉KGE训练部分后再运行时test auc可以达到0.9169。我对此十分疑惑，难道KGE训练对推荐质量有负作用，请问这该如何解释呢。
@daisir8
Copy link

daisir8 commented Nov 14, 2021

这点变化太小了，不算，你不注释掉KGE部分多运行几次也能达到0.9169的水平

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@SSSxCCC @daisir8