Research
Use LensKit to research recommender algorithms, evaluation techniques, or user experience.
Build
Use LensKit to build your next recommender application.
Get LensKit
conda install -c conda-forge lenskitOr, if you prefer plain Pip:
pip install lenskitIf you use LensKit in research, please cite the paper.
Learn about LensKit
Connect with LensKit
- Follow us on Mastodon
- Join our mailing list
- Report and discuss issues on GitHub
Acknowledgements
LensKit development is led by the People and Information Research Team (PIReT) at Boise State University and welcomes contributions from anyone.
News
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LensKit RecSys Toolkit
@LensKit
Spent some time today updating the list of #RecSys research using LensKit, and we're now at 105 known research products using LensKit for Python! https://lenskit.org/research/
As a friendly reminder, if you use LensKit in your research, please cite the CIKM'20 paper (https://md.ekstrandom.net/pubs/lkpy), as that makes tracking usage easier. Also, drop Michael an e-mail with your paper!
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LensKit RecSys Toolkit
@LensKit
The next LensKit release will be the biggest since the switch to Python, a fundamental paradigm shift to support better flexibility, easier correctness, and improved self-documentation. Still working on code, testing, and docs, but a preview: https://lkpy.lenskit.org/en/latest/guide/migrating.html
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LensKit RecSys Toolkit
@LensKit
Hello, #recsys world! We're over here now.