In 1988, a British mountain climber named Joe Simpson wrote a book called Touching the Void, a harrowing account of near death in the Peruvian Andes. It got good reviews but, only a modest success, it was soon forgotten. Then, a decade later, a strange thing happened. Jon Krakauer wrote Into Thin Air, another book about a mountain-climbing tragedy, which became a publishing sensation. Suddenly Touching the Void started to sell again.
Random House rushed out a new edition to keep up with demand. Booksellers began to promote it next to their Into Thin Air displays, and sales rose further. A revised paperback edition, which came out in January, spent 14 weeks on the New York Times bestseller list. That same month, IFC Films released a docudrama of the story to critical acclaim. Now Touching the Void outsells Into Thin Air more than two to one.
What happened? In short, Amazon.com recommendations. The online bookseller's software noted patterns in buying behavior and suggested that readers who liked Into Thin Air would also like Touching the Void. People took the suggestion, agreed wholeheartedly, wrote rhapsodic reviews. More sales, more algorithm-fueled recommendations, and the positive feedback loop kicked in.
It's a well-reported fact that some slow-selling books shift vast amounts because book-clubs sell copies by word of mouth - but this is the first example I've come cross of a recommendation system turning a book into a best-seller. Generally Amazon recommends books I've already got (because I'm usually buying in a small enough niche that there _aren't_ that many good books to recommend), but I'll be keeping a closer eye on the recommendations from now on.
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