Absrtact: In order to find out which function, which version of the design is better, each site or application of the data scientists have a A/b such tools. Facebook released its own A/b test source code called Planout to help data scientists test it again and easily.
In order to understand which features, which version of the design is better, each site or application of data scientists have a A/b such tools. Facebook has released its own A/b test source code-called Planout-to help data scientists test it again and easily.
Facebook wrote in the official blog,
"Facebook runs tests on a daily basis, some for the sake of optimization, some for the long term design, because the work is so impressive that we need a reliable, stable test procedure where many online tests are performed by engineers who are not experienced statisticians." Tests are easy to parse when doing the right thing, but they can be easily faulted in their design, implementation, recording, and parsing.
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