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Apache ESME (Enterprise Social Messaging Environment) is a secure and highly scalable microsharing and micromessaging platform that allows people to discover and meet one another and get controlled access to other sources of information. You can hardly turn a web page these days without seeing a story that describes how people are using social networks, whether it is Twitter, Facebook or some other service to develop and build their personal communities. When solving problems, how useful might it be if a user was able to tap into the collective knowledge of her peers or surrounding groups of people with whom she might naturally network in the workplace setting? How much quicker and with greater precision might she be able to solve daily problems? What if there was a communications mechanism that takes the best of what services like Twitter offers and co-mingled that with readily recognizable business processes? That solution is Apache ESME.

The visualization shows the history of commits in the Eclipse, Apache, PostgreSQL and Python project. Developers and files are represented as moving elements. When a developer commits a file, it lights up and flies towards that developer.

Mahout currently has Collaborative Filtering User and Item based recommenders K-Means, Fuzzy K-Means clustering Mean Shift clustering Dirichlet process clustering Latent Dirichlet Allocation Singular value decomposition Parallel Frequent Pattern mining Complementary Naive Bayes classifier Random forest decision tree based classifier High performance java collections (previously colt collections) A vibrant community and many more cool stuff to come by this summer thanks to Google summer of code