https://recsyswiki.com/api.php?action=feedcontributions&feedformat=atom&user=MichaelEkstrand 2026-04-16T09:53:12Z User contributions MediaWiki 1.34.2 https://recsyswiki.com/index.php?title=LensKit&diff=512 2011-06-16T17:48:56Z

<p>MichaelEkstrand: Add to software category</p> <hr /> <div>[http://lenskit.grouplens.org LensKit] is a Java-based recommender toolkit from [[GroupLens]]. It provides a common API for recommender algorithms, an evaluation framework for offline evaluation of recommender performance, and highly modular implementations of common collaborative filtering algorithms.<br /> <br /> It is intended to be particularly useful for research and education. The aim of the project is to produce a common recommender framework, reusable in applications, and clear, readable implementations of common algorithms employing best practices with regards to implementation strategies, tuning, and normalizations.<br /> <br /> LensKit is under active development. The project currently has several rating-based algorithms and is working on developing additional algorithms, basket/history-based algorithms, and additional evaluation strategies.<br /> <br /> [[Category:Software]]</div>

MichaelEkstrand https://recsyswiki.com/index.php?title=User:Ekstrand&diff=511 2011-06-16T17:47:18Z

<p>MichaelEkstrand: Created page with &quot;I'm a Ph.D candidate with GroupLens Research at the University of Minnesota. In this capacity, I am the lead developer on LensKit, an open source recommender s...&quot;</p> <hr /> <div>I'm a Ph.D candidate with [[GroupLens|GroupLens Research]] at the University of Minnesota. In this capacity, I am the lead developer on [[LensKit]], an open source recommender systems toolkit. You might want to visit my [http://www-users.cs.umn.edu/~ekstrand home page] (with list of publications).</div>

MichaelEkstrand https://recsyswiki.com/index.php?title=LensKit&diff=510 2011-06-16T17:44:33Z

<p>MichaelEkstrand: Add LensKit presence.</p> <hr /> <div>[http://lenskit.grouplens.org LensKit] is a Java-based recommender toolkit from [[GroupLens]]. It provides a common API for recommender algorithms, an evaluation framework for offline evaluation of recommender performance, and highly modular implementations of common collaborative filtering algorithms.<br /> <br /> It is intended to be particularly useful for research and education. The aim of the project is to produce a common recommender framework, reusable in applications, and clear, readable implementations of common algorithms employing best practices with regards to implementation strategies, tuning, and normalizations.<br /> <br /> LensKit is under active development. The project currently has several rating-based algorithms and is working on developing additional algorithms, basket/history-based algorithms, and additional evaluation strategies.</div>

MichaelEkstrand