Now Goodreads is using those recommendations to predict what you might want to read, according to an article on Newswire PR Today.
Goodreads has almost six million members who have added more than 190 million books to their shelves and mark more than 100,000 new books “to read” each day. On average, members have 140 books on their Goodreads bookshelves.You may be wondering what algorithms Goodreads uses. According to the article, they analyze the reading history of people, how books fit into their lives, the connections between books folks are reading, what the topics are, what people like and dislike, even how they categorize books.
Combining multiple proprietary algorithms which analyze 20 billion data points, Goodreads better predicts which books people will want to read next.
They analyze all this and more and come up with recommendations that are “tailored” to each reader/member of Goodreads.
Interesting. And a bit Big Brother (not the reality show, but the reality of “someone” knows everything you do and think). What do you think? Is it great having a company be able to tailor book recommendations by knowing tons about you? Or not?