Amazon’s Kirshbaum Suggests Amazon Publishing Books Would Be Favored in Recommendation Engine

UPDATE: A spokesperson for Amazon has told us that the kind of favorable treatment that Kirshbaum’s comments suggest is not occurring.

At an interview last week at the State University of New York’s Stony Brook Southampton campus, Amazon Publishing publisher Larry Kirshbaum sat down with former Random House editor Daniel Menaker for an interview about the nascent, New York-based publishing operation launched last year by the Seattle-based e-tailer.

In that interview, the highlights of which were curated and transcribed by paidContent’s Laura Hazard Owen, Kirshbaum said:

We’ve gotten a great response. I know there have been criticisms of Amazon in the press and from some sources, but the agents have by and large been extremely excited about the fact that we can publish in a different way. They love the idea of the database, that we can actually reach readers directly, that we can use — of course all of you who are, I’m sure, Amazon customers know the suggestible idea — if you like X, you’ll like Y. We’ll be the Y. We’re going to show some really innovative marketing ideas to sell books in ways that they’re not being sold right now.

Amazon has not yet replied to request for comment on whether this means Amazon Publishing’s works would be favored in the book-suggestion engine.

Digital Book Wire will post more information as it comes in.


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