While friends can give you book recommendations based on what they think youll enjoy, sometimes they dont match the things youve 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 NYPLs recommendations have not been based on the readers own activity, rather theyve been based on what other readers have been checking out, viewing, and rating. Those recommendations will be built into the NYPL website and will appear on the side of the page of a book search result.
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