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How Keywords, Machine Learning Unlock Book Discovery

January 3, 2016May 4, 2015 by Publetariat

This post by Jim Bryant originally appeared on Publishing Perspectives on 5/4/15.

Jim Bryant of Trajectory.com argues that advancements natural language machine processing leading to keywords may unlock a revolution in book discovery.

Leading publishing industry analysts started highlighting the increasing urgency of developing better “book discovery” practices more than ten years ago. Several years ago, this issue was highlighted as one of the biggest challenges facing the future of the publishing industry. Today, no one in the publishing world is seriously debating the relevancy of “book discovery.”

The challenge of “book discovery” is highlighted by the well-accepted facts surrounding the notion that never before in history have so many books been available to so many readers.

– Hundreds of thousands of backlist titles are being released by publishers.

– Hundreds of thousands of self-published books are being offered by ebook retailers and self-publishing platforms.

– Hundreds of thousands of titles from foreign publishers are making their way into domestic supply chains.

 

Read the full post, which includes informative charts and graphics, on Publishing Perspectives.

 

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