{"repository":{"description":"A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Mongoose (MongoDB). Currently using the Pearson product-moment correlation algorithm and I'll likely refactor it to use Python and/or Redis as Memcached. Also I'm debating switching it to use the Neo4j graph database to take advantage of the traversal abilities, breadthe/depth in finding recommendations and lower the time complexity.","homepage":"","watchers":1,"stargazers":1,"forks":0,"fork":false,"size":96,"owner":"guymorita","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"JavaScript","created_at":"2013-07-28T23:30:52-07:00","pushed_at":"2013-08-03T01:40:07-07:00","master_branch":"master"},"actor_attributes":{"type":"User","email":"da39a3ee5e6b4b0d3255bfef95601890afd80709"},"url":"https://github.com/guymorita/raccoon/compare/c6fe2d63dd...42daa2a73f"}