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I have been looking into building simple recommendation engine (i have at max million data rows) using Python. I looked into Crab (https://github.com/muricoca/crab) and it seems to not have updated for 2 years.

Any suggestions for libraries or just use basic numpy/scipy and implement the algorithms?

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Just implement the damn algorithms. Anything else is just another library to learn, and another tool to babysit.

Agreed. Take the Machine Learning class on Coursera if you need an introduction to them.

Okay. I already have read about the algorithms and even implemented them crudely while studying them.

Just not a big fan of NHI. But if in this case, thats the best way - let it be :)

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