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.

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

About Mean shift #13

Open
jieWANGforwork opened this issue Mar 30, 2023 · 2 comments
Open

About Mean shift #13

jieWANGforwork opened this issue Mar 30, 2023 · 2 comments

Comments

@jieWANGforwork
Copy link

Thanks for your work, I have some quesitions about the code.
Could you provide the code of comparison methods or is there any way you can explain the following concerns:
Did you pretrain the cluster model then used the embeddings to evaluate all methods on unexpectiveness or implemented all methods with individual mean shift?
There was no clarification in the paper if I didn't miss any details.

That would be greatly helpful for myself to learn from your resaech.
Thanks for you patience.

@lpworld
Copy link
Owner

lpworld commented Mar 30, 2023

Hello! The Mean Shift algorithm is trained together with the recommendation model on the fly. You can refer to the codes from line 184-203.

@jieWANGforwork
Copy link
Author

Thanks for your reply, and can you also tell me how to evaluate the unxpec of comparison methods? Thank you.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants