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Daniel Smith
Zola's Bookish recommendation engine goes to work for libraries
Zola's Bookish recommendation engine goes to work for libraries

Let's start with the idea of a recommendation engine. It's an informal term to describe the complex algorithms that parse masses of data to make suggestions of the "if you like that, you'll like this" variety. Online services crave good recommendation engines. Back in 2006, Netflix launched a contest with a $1-million prize to the team that could improve its algorithm by at least 10%. It gave programmers up to five years to reach the goal, and awarded the prize after just three, in 2009. Now we know that Netflix has created upwards of 76,897 unique micro movie genres to feed into its algorithm to automatically create personalized recommendations. Book buyers...

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