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Apache Mahout's goal is to build scalable machine learning libraries. With scalable we mean: Scalable to reasonably large data sets. Our core algorithms for clustering, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. ... [More]
Myrrix is a complete, real-time, scalable recommender system, evolved from Apache Mahout™. Just as we take for granted easy access to powerful, economical storage and computing today, Myrrix will let you take for granted easy access to large-scale learning from data. The Serving Layer component ... [More]
MyMediaLite is a recommender system algorithm library. It provides methods for two common tasks in recommender systems/collaborative filtering: rating prediction and item prediction from implicit feedback. MyMediaLite also contains command-line programs that let you use much of the library's functionality without having to program.
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (NumPy,SciPy, Matplotlib). The engine aims to provide a rich set of components from which you can construct a customized ... [More]
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