Human Recommendation Engines

By Tim Inman |

Amongst whitefox publisher clients, we’re lucky to number Gallic; the clever, fleet-of-foot indie publisher of French books in translation. And Gallic are lucky enough to be based in a thriving bookshop in South West London. Here they host events, meet book buyers, and launch their own titles alongside those of other publishers.

But besides all that, they’ve grown to become something of my trusted human recommendation engines. Every time we have a meeting to discuss plans for forthcoming publications I ask them what I should be reading in the implicit understanding they already know enough about me to be informed in their choices. After many months, they have yet to make a bad choice (currently Walter Tevis’s haunting classic The Queen’s Gambit). They even have a dog that has started to tweet recommendations (a dog recommendation engine?). Smart pooch.

Many years ago, I used to work with a very brilliant copyeditor who had a similar ability. Everyone in his proximity knew to pay attention to his pronouncements once he’d finished working on a book due to his uncanny knack of knowing which of a publisher’s stable of titles stood a chance of making it in any one season. He was a sales departments secret oracle.

Some people are gifted like that.

Now, I’m not comparing them more favourably than algorithms that tell me titles I may also like after I’ve finished a book on my e-reader. But there is something rather joyous seeing the spark in the eyes of a bookseller or a colleague or friend who wants you to share the pleasure of disappearing into a writer’s world.

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