By JOHN PAUL TITLOW of ReadWriteWeb, , New York Times, 16 September, 2011
Goodreads, a social network that lets readers rate and review books, has launched a recommendation engine designed to help users choose what to read next.
The new feature comes six months after the startup acquired Discovereads, a book recommendation engine which is something CEO Otis Chandler cited as a sought-after feature among Goodreads users.
The site's new reading recommendations are generated using a set of propriety algorithms which look at over 20 billion different data points. Perhaps most importantly, it takes into account the stated preferences of of its nearly 6 million users, for whom rating books is already a key component of using the site.
"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. "We're the Netflix of book recommendations. As members add more reviews and ratings, we keep improving our suggestions for them."
Full story at New York Times.
The site's new reading recommendations are generated using a set of propriety algorithms which look at over 20 billion different data points. Perhaps most importantly, it takes into account the stated preferences of of its nearly 6 million users, for whom rating books is already a key component of using the site.
"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. "We're the Netflix of book recommendations. As members add more reviews and ratings, we keep improving our suggestions for them."
Full story at New York Times.
No comments:
Post a Comment