lenskit.org

LensKit Recommender Toolkit

Open-Source Tools for Recommender Systems. Use LensKit to build your next recommender application. Use LensKit to research recommender algorithms, evaluation techniques, or user experience. Version 2.2.1. Latest version: 2.2.1. Latest prelease: 3.0-M2. Get from Maven Central. Get the source on GitHub. More download information →. Join our mailing list. Report and discuss issues on GitHub. Follow LensKit on Twitter. Tweets by @LensKitRS. LensKit development began at GroupLens Research.

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Texas State University

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Open-Source Tools for Recommender Systems. Use LensKit to build your next recommender application. Use LensKit to research recommender algorithms, evaluation techniques, or user experience. Version 2.2.1. Latest version: 2.2.1. Latest prelease: 3.0-M2. Get from Maven Central. Get the source on GitHub. More download information &rightarrow;. Join our mailing list. Report and discuss issues on GitHub. Follow LensKit on Twitter. Tweets by &commat;LensKitRS. LensKit development began at GroupLens Research.

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LensKit Recommender Toolkit | lenskit.org Reviews

https://lenskit.org

Open-Source Tools for Recommender Systems. Use LensKit to build your next recommender application. Use LensKit to research recommender algorithms, evaluation techniques, or user experience. Version 2.2.1. Latest version: 2.2.1. Latest prelease: 3.0-M2. Get from Maven Central. Get the source on GitHub. More download information &rightarrow;. Join our mailing list. Report and discuss issues on GitHub. Follow LensKit on Twitter. Tweets by &commat;LensKitRS. LensKit development began at GroupLens Research.

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lenskit.org

1

LensKit — Users

http://lenskit.org/users

Is your site using LensKit? Drop us a line. And we’ll add it to the list. This site is public on GitHub. Hosted on GitHub Pages.

2

LensKit — Acknowledgements

http://lenskit.org/thanks

LensKit is developed primarily by researchers at Texas State University. At the University of Minnesota. With contributions from developers around the world. It is made possible by support from a number of organizations:. Projects, particularly MovieLens. Use LensKit in production, providing experience, bug reports, and other valuable feedback (and code). We also maintain list of LensKit users. YourKit is kindly supporting the project with free licenses for the YourKit Java profiler.

3

LensKit — News

http://lenskit.org/news

LensKit 2.1 released. We are pleased to announce the release of LensKit 2.1. This is the first significant feature update in the LensKit 2.0 series, and has many new features, bug fixes, and performance improvements. Read more &rightarrow;. This site is public on GitHub. Hosted on GitHub Pages.

4

LensKit — Downloads

http://lenskit.org/download

The latest version of LensKit is 2.2.1. For an overview of changes in this release, see the release notes. Contains LensKit JAR files, all dependencies, and scripts to run the LensKit evaluator. LensKit binaries are hosted on BinTray. Get the source from GitHub. LensKit 3.0 is currently under development. If you want to use it without tracking 3.0-SNAPSHOT or Git. You can use version 3.0-M1:. LensKit 3.0-M1 has also been pushed to Maven Central, so you can depend on it like a released version.

5

LensKit — Documentation

http://lenskit.org/documentation

If you’re just getting started with LensKit, start with the following:. To use LensKit in a project. To run recommender experiments with LensKit. Then you will probably want to read the rest of our documentation:. How to use LensKit and work with its interfaces and data structures. More detailed discussions of the algorithms LensKit provides. For the current version (2.2.1). Has documentation on developing LensKit. Additionally, Chapter 3 of Michael Ekstrand’s dissertation. JavaDoc for current dev tree.

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buildingrecommenders.wordpress.com

Authors – A Practical Guide to Building Recommender Systems

https://buildingrecommenders.wordpress.com/authors

A Practical Guide to Building Recommender Systems. From Algorithms to Product. Https:/ twitter.com/ krisjack. Together, Maya and Kris have brought a number of recommender systems into the world. Their most recent product is called Mendeley Suggest. A recommender system for researchers. To support reproducible research on recommender systems through open-source research tooling. Https:/ md.ekstrandom.net. Leave a Reply Cancel reply. Enter your comment here. Address never made public). You are commenting u...

grouplens.org

Projects | GroupLens

http://grouplens.org/projects

Online Peer-Support in Recovery from Addiction. Cyclopath in Greater MN. GroupLens has a long history of research on recommender systems, starting with the original GroupLens USENET article recommender and the development of automatic collaborative filtering. That work continues today, as we run multiple recommendation services and use them to advance the art of recommendation. MovieLens ( http:/ movielens.org. The rating interfaces project is investigating different interfaces for rating movies. We ...

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LensKit Recommender Toolkit

Open-Source Tools for Recommender Systems. Use LensKit to build your next recommender application. Use LensKit to research recommender algorithms, evaluation techniques, or user experience. Version 2.2.1. Latest version: 2.2.1. Latest prelease: 3.0-M2. Get from Maven Central. Get the source on GitHub. More download information &rightarrow;. Join our mailing list. Report and discuss issues on GitHub. Follow LensKit on Twitter. Tweets by &commat;LensKitRS. LensKit development began at GroupLens Research.

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