Goodreads Unveils Next-Gen Book Recommendations
Summary
This is the first time a community of readers of this size has collectively shared their literary likes and dislikes,” said Otis Chandler, CEO and founder of Goodreads.Combining multiple proprietary algorithms which analyze 20 billion data points, Goodreads better predicts which books people will want to read next.This is the first time a community of readers of this size has collectively shared their literary likes and dislikes,” said Otis Chandler, CEO and founder of Goodreads.On average, members have 140 books on their Goodreads bookshelves.Combining multiple proprietary algorithms which analyze 20 billion data points, Goodreads better predicts which books people will want to read next.Using ‘The Help’ as an example, if a reader liked it because they like reading historical fiction and they also liked ‘The Guernsey Literary and Potato Peel Society’ and ‘A Tree Grows in Brooklyn,’ then a great recommendation for that reader is ‘These Is My Words.’ With Amazon, the focus is on other best sellers so someone buying ‘The Help’ would get recommendations for books as diverse as ‘Water For Elephants,’ ‘The Hunger Games’ and ‘One Day.’“With Goodreads, it’s as if you combine your favorite librarian, your best friend, and a database of two million book titles into one person and ask ‘what should I read next?’” said Chandler.It’s that wide range of reactions which is reflected in our new recommendations engine, providing suggestions which are unique to each reader.”### Contact Information Goodreads Suzanne Skyvara (415) 453 4880 www.goodreads.com Click here to view the list of recent Press Releases from Goodreads Promote Your Business Press Release Pricing Email this page to a friend