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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]
Seeks is a meta-search engine, and moving toward a cross-platform pattern-matching peer-to-peer tool for real-time social websearch.
LensKit is an open source toolkit for building, researching, and studying recommender systems, providing an API for common recommender use cases, implementations of widely-used algorithms, and tools for evaluating recommender performance.
SUGGEST is a Top-N recommendation engine that implements a variety of recommendation algorithms for collaborative filtering. Python wrapper by Ricardo Niederberger Cabral (ricardo.cabral at imgseek.net). Recommendation engine by George Karypis ... [More]
The OpenRecommender project was started on (Canada Day) July 1st, 2008 with the mission of creating the world’s leading Free and Open Source Recommendation Engine. The goal is that many people, from many different fields, will come together in using and improving the underlying technologies of the Recommender System.
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]
PredictionIO is an open source machine learning server. It enables developers and data engineers to build smarter web and mobile applications through a simple set of APIs. Admin UI is provided for developers to select and tune algorithms. Some benefits of using PredictionIO: - create predictive ... [More]
A simple recommender system based on collaborative filtering which can collect information about books, movies etc. then learn the local user preferences to recommend new items
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