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

Provide references and a small comparison matrix #91

Closed
FlorianWilhelm opened this issue Jun 4, 2016 · 2 comments
Closed

Provide references and a small comparison matrix #91

FlorianWilhelm opened this issue Jun 4, 2016 · 2 comments

Comments

@FlorianWilhelm
Copy link
Contributor

It's always good scientific practice to also give references to other freely available recommender systems and maybe a small matrix comparing their main features. This has several benefits:

  1. It allows new user to get a fast overview of freely available alternatives
  2. It provides an overview of the main differences to the alternatives
  3. Showing that there are alternatives and that their main feature are known to the authors of LightFM increases their reputation and perceived expertise.

I think the main alternatives are Mahout, PyFM and LensKit. All of them seem to provide only Collaborative Filtering. Interesting features would be: scalability/runtime performance, language bindings, algorithms/methods.

I know that this issue could be quite work intense but it would be nice to have in order to convince people to use LightFM ;-)

@maciejkula
Copy link
Collaborator

That sounds like a great idea, I'd love to see contributions!

@SimonCW
Copy link
Collaborator

SimonCW commented Jan 23, 2021

I’m closing this issue because it has been inactive for a long time. If you still encounter the problem please open a new issue.

Thank you!

@SimonCW SimonCW closed this as completed Jan 23, 2021
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