Last week’s episode, about methods for optimized web crawling logic, left off on a bit of a cliffhanger: the data scientists had found a solution to the problem, but it wasn’t something that the engineers (who own the search codebase, remember) liked very much. It was black-boxy, hard to parallelize, and introduced a lot of complexity to their code. This episode takes a second crack, where we formulate the problem a little differently and end up with a different, arguably more elegant solution.

Relevant links:

http://www.unofficialgoogledatascience.com/2018/07/by-bill-richoux-critical-decisions-are.html

http://www.csc.kth.se/utbildning/kth/kurser/DD3364/Lectures/KKT.pdf