TeleRead: Bring the E-Books Home

News & views on e-books, libraries, publishing and related topics
March 20th, 2008

Booklamp’s algorithms: A way to connect books with agents and publishers—and regular readers?

By David Rothman

booklampDoubt the the book biz is dysfunctional? Borders, the troubled book chain, could be for sale—just one more sign of the mess the industry is in.

That might not be the best news for something already on sale, at Borders: the Sony Reader.

Algorithms ahead?

But could p- and e-books alike fare better if algorithms could help books find the right readers, just as Pandora.com does for music?

What if a publisher could break down the storyline and plot, characters and writing style of a manuscript and see how it stacked up against the elements in an already-successful book?

BookLamp as a connector

image An experimental service called BookLamp will consider those elements and more, and potentially help agent, publishers and regular readers find the right titles. See above video. The second video shows the main guy, Aaron Stanton, giving his pitch. Interesting that he’s using multimedia, eh? Says something about about all the competition that text is getting, no? Yes, the TeleBlog pleads guilty to a similar sin, if that is one.

BookLamp, from CanGoogleHearMe.com, is hardly a finished product. And, yes, Mike, I heartily dislike the idea of algorithms being the only way to determine what gets published. But what could be more mindless than the fixation that so many in publishing have on authors’ previous sales records? Or the helter-skelter selection of manuscripts from slush piles?

For humans, please

Meanwhile, if BookLamp gains funding and becomes a major influence in publishing, I would heartily advise authors to write for humans, not machines. If the gizmos are smart enough, they’ll catch on. Google’s search engine loves the TeleBlog despite my doing squat to write for Google deliberately.

Booklamp’s own self-description: “BookLamp.org is a system for matching readers to books through an analysis of writing styles, similar to the way that Pandora.com matches music lovers to new music. Do you like Stephen King’s It, but thought it was too long? The technology behind BookLamp allows you to find books that are written with a similar tone, tense, perspective, action level, description level, and dialog level, while at the same time allowing you to specify details like… half the length. It’s impervious to outside influences—like advertising—that impact socially driven recommendation systems, and isn’t reliant on a large user base to work.”

(Big thanks to Mike Cane for pointing me to BookLamp. Check out his Borders-Sony item.)

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2 Responses to “Booklamp’s algorithms: A way to connect books with agents and publishers—and regular readers?”

  1. BookLamp submits the full-text of novels to the analytical depredations of an algorithm. There is another odd service that algorithmically crunches only the book title. Lulu, the publishing company, operates a web page with “Titlescorer” which is a system that supposedly examines a book title to determine if “it has what it takes for bestseller success.” Here is what Lulu says:

    The Lulu Titlescorer has been developed exclusively for Lulu by statisticians who studied the titles of 50 years’ worth of top bestsellers and identified which title attributes separated the bestsellers from the rest. We commissioned a research team to analyze the title of every novel to have topped the hardback fiction section of the New York Times Bestseller List during the half-century from 1955 to 2004 and then compare them with the titles of a control group of less successful novels by the same authors.

    Titlescorer gives the petitioner a numerical score that represents the percent chance that the input title will become a bestseller. The values given are absurdly high. But it does provide encouragement.

  2. >>>And, yes, Mike, I heartily dislike the idea of algorithms being the only way to determine what gets published.

    Then just use them a frikkin twit screens.

    This ms has X number of grammatical errors, X number of typos, first-grade level of vocabulary = FAIL.

    I mean, if someone can’t frikkin *write* to begin with, clear the decks for those who can!

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