Monday, March 24, 2014

The New York Public Library will now recommend similar books when searching


While friends can give you book recommendations based on what they think you'll enjoy, sometimes they don't match the things you've actually read in the past. But now the New York Public Library is partnering with social bookstore startup Zola Books to give readers algorithm-based recommendations, which pull from book data rather than user data. Until now, the NYPL's recommendations have not been based on the reader's own activity, rather they've been based on what other readers have been checking out, viewing, and rating. The new service will give readers book choices to consider based on the characteristics of the books they search for.


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