suggestomatic

San Francisco, fulltime/internships/H1B Causes - http://www.causes.com/joinus At Causes, use your programming powers to build the world's largest platform for collective action. Ruby on Rails + jQuery stack, 10-ish person engineering team, the usual startup perks (catering, snacks, soda, etc), gym membership reimbursement, open source contributions encouraged: https://github.com/causes/suggestomatic -- item based collaborative filter https://github.com/causes/buffet -- distributed testing framework for Ruby https://github.com/causes/mock_redis -- mock redis Ruby gem Apply through the site or rob@causes.com if interested!

San Francisco, fulltime/internships/H1B Causes - http://www.causes.com/joinus At Causes, use your programming powers to help nonprofits effect change on the world! Ruby on Rails + jQuery stack, 10-ish person engineering team, the usual startup perks (catering, snacks, soda, etc), gym membership reimbursement, open source contributions encouraged: https://github.com/causes/suggestomatic -- item based collaborative filter https://github.com/causes/buffet -- distributed testing framework for Ruby https://github.com/causes/mock_redis -- mock redis Ruby gem Apply through the site or adam@causes.com if interested!

San Francisco, fulltime/internships/H1B Causes - http://www.causes.com/joinus At Causes, use your programming powers to help nonprofits effect change on the world! Ruby on Rails + jQuery stack, 10-ish person engineering team, the usual startup perks (catering, snacks, soda, etc), gym membership reimbursement, open source contributions encouraged: https://github.com/causes/suggestomatic -- item based collaborative filter https://github.com/causes/buffet -- distributed testing framework for Ruby https://github.com/causes/mock_redis -- mock redis Ruby gem Apply through the site or adam@causes.com if interested!

San Francisco, fulltime/internships/H1B Causes - http://www.causes.com/joinus At Causes, use your programming powers to help nonprofits effect change on the world! Ruby on Rails + jQuery stack, 10-ish person engineering team, the usual startup perks (catering, snacks, soda, etc), gym membership reimbursement, open source contributions encouraged: https://github.com/causes/suggestomatic -- item based collaborative filter https://github.com/causes/buffet -- distributed testing framework for Ruby https://github.com/causes/mock_redis -- mock redis Ruby gem Apply through the site or adam@causes.com if interested!

San Francisco, fulltime/internships/H1B http://www.causes.com/joinus At Causes, use your programming powers to help nonprofits effect change on the world! Ruby on Rails + jQuery stack, 10-ish person engineering team, the usual startup perks (catering, snacks, soda, etc), gym membership reimbursement, open source contributions encouraged: https://github.com/causes/suggestomatic -- item based collaborative filter https://github.com/causes/buffet -- distributed testing framework for Ruby https://github.com/causes/mock_redis -- mock redis Ruby gem Apply through the site or adam@causes.com if interested!

I built a recommendation engine: http://github.com/causes/suggestomatic Because of the scale of data I'm using, I'm acutely aware of big-O. I guess what's most interesting is that gcc is able to take some of those "slow" operations and make them super fast (if it can fit them in a register) and other times I get the full O(n) effect. Valgrind has been a very useful tool, and can empirically show you where your program is going to blow up (if you doubt your big-O analysis).

http://github.com/causes/suggestomatic Open source item based collaborative filter used for 'Causes you might like' feature on Causes.com. This project was built specifically with large scale data sets (approaching 1 bn input records) in mind.