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

maybe add libfm and libffm to benchmark #9

Open
lihang00 opened this issue May 12, 2015 · 3 comments
Open

maybe add libfm and libffm to benchmark #9

lihang00 opened this issue May 12, 2015 · 3 comments

Comments

@lihang00
Copy link

http://www.libfm.org/
Factorization machines (FM) are a generic approach that allows to mimic most factorization models by feature engineering.

http://www.csie.ntu.edu.tw/~cjlin/libffm/
LIBFFM is an open source tool for field-aware factorization machines (FFM). For the formulation of FFM, please see these slides. It has been used to win two recent click-through rate prediction competitions (Criteo's and Avazu's).

They are also very interesting tools.

@szilard
Copy link
Owner

szilard commented May 17, 2015

Sure, if someone wants to do this :)

@KKulma
Copy link

KKulma commented Oct 8, 2018

why remove the labels? Is contribution no longer needed?

@szilard
Copy link
Owner

szilard commented Oct 8, 2018

Sorry, I don't recall why I removed the labels (it was 2 yrs ago). Btw this repo is more like in legacy mode, see https://github.com/szilard/benchm-ml#summary (in short: on a reduced scope, I maintain https://github.com/szilard/GBM-perf for GBMs)

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

3 participants