Announcing Goodreads Personalized Recommendations
Goodreads was founded with the mission to get people excited about reading. And the key to getting people excited about reading is to help them discover books that they’ll love, and then to enable them to share their thoughts and experiences with friends.
Today, Goodreads launches a new personalized book recommendation engine. It takes recommendations to a new level of sophistication by analyzing both books and, more importantly, the people who read them. It’s the Netflix of book recommendations.
Finding a great book recommendation online has been a hit-and-miss affair to date. We’ve all experienced the unhelpful suggestion to read another book by an author we already love. And how about the dreaded impact of buying gifts on Amazon only to have irrelevant book recommendations come up for months afterwards?
Earlier this year, Goodreads purchased a company that had built a very sophisticated book recommendation system. Today, after months of hard work, we’re ready to provide you with book recommendations that take into account what you like and don’t like and what certain books mean to you.
To get started, rate at least 20 books (and rate much more to get even better recommendations). Categorize your books in custom shelves that reflect what the books mean to you. Then explore your recommendations. We apologize for the impact this will have on the size of your to-read shelf.
How Goodreads Recommendations Work
The Goodreads Recommendation Engine combines multiple proprietary algorithms which analyze 20 billion data points to better predict which books people will want to read next. It maps out the connections between books by looking at how often they appear on the same bookshelves and whether they were enjoyed by the same people. On average, Goodreads members have 140 books on their shelves. With this information, the engine learns how your tastes are similar to or different from the tastes of other Goodreads members.
So, a big part of the secret sauce is…you, the Goodreads community. The Goodreads community is almost six million members strong, and you’ve added a combined total of 190 million books to your shelves!
Take best-seller The Help as an example: Goodreads members have added over 175,000 ratings of the book and over 40,000 reviews. In comparison, Amazon has, to date, less than 4,500 reviews and ratings.
But it doesn’t end with raw numbers. Goodreads members have put The Help on bookshelves called Historical Fiction, Friendship, Racism, Women’s Fiction and Cultural > African American. You can see how this book means different things to different people. If you’re approaching this as Historical Fiction and have enjoyed The Guernsey Literary and Potato Peel Society and A Tree Grows in Brooklyn, then a great recommendation for you 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.
We welcome you to try our recommendations on for size. Compare them with anything else you’ve relied on online. Then tell us (and your friends) what you think. We think you’ll be blown away, and that you’ll meet your next favorite book on Goodreads.
Today, Goodreads launches a new personalized book recommendation engine. It takes recommendations to a new level of sophistication by analyzing both books and, more importantly, the people who read them. It’s the Netflix of book recommendations.
Finding a great book recommendation online has been a hit-and-miss affair to date. We’ve all experienced the unhelpful suggestion to read another book by an author we already love. And how about the dreaded impact of buying gifts on Amazon only to have irrelevant book recommendations come up for months afterwards?
Earlier this year, Goodreads purchased a company that had built a very sophisticated book recommendation system. Today, after months of hard work, we’re ready to provide you with book recommendations that take into account what you like and don’t like and what certain books mean to you.
To get started, rate at least 20 books (and rate much more to get even better recommendations). Categorize your books in custom shelves that reflect what the books mean to you. Then explore your recommendations. We apologize for the impact this will have on the size of your to-read shelf.
How Goodreads Recommendations Work
The Goodreads Recommendation Engine combines multiple proprietary algorithms which analyze 20 billion data points to better predict which books people will want to read next. It maps out the connections between books by looking at how often they appear on the same bookshelves and whether they were enjoyed by the same people. On average, Goodreads members have 140 books on their shelves. With this information, the engine learns how your tastes are similar to or different from the tastes of other Goodreads members.
So, a big part of the secret sauce is…you, the Goodreads community. The Goodreads community is almost six million members strong, and you’ve added a combined total of 190 million books to your shelves!
Take best-seller The Help as an example: Goodreads members have added over 175,000 ratings of the book and over 40,000 reviews. In comparison, Amazon has, to date, less than 4,500 reviews and ratings.
But it doesn’t end with raw numbers. Goodreads members have put The Help on bookshelves called Historical Fiction, Friendship, Racism, Women’s Fiction and Cultural > African American. You can see how this book means different things to different people. If you’re approaching this as Historical Fiction and have enjoyed The Guernsey Literary and Potato Peel Society and A Tree Grows in Brooklyn, then a great recommendation for you 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.

We welcome you to try our recommendations on for size. Compare them with anything else you’ve relied on online. Then tell us (and your friends) what you think. We think you’ll be blown away, and that you’ll meet your next favorite book on Goodreads.
Comments Showing 201-250 of 261 (261 new)



I don't think so, personally. If anything, I think it can promote/supplement discussion of different books. I already see where, in certain cases, it could allow people to say "I saw this book on my rec list, have you read this book too? What do you think of it?" type discussions coming into the mix. I think it's just a matter of how you use it, if you choose to use it at all.

I don't think so, p..." Sure, you're right.




What browser are you on? Have you tried clearing out your browser's cache? Does it work on other browsers?
--Kara (Customer Care Manager, Goodreads)


Is goodreads gonna be around?

I wouldn't worry about that - we plan to be around for a long time :)
If you want to have a backup file with all your reviews, you can export one here. The option is on the right side of the page.
(Customer Care Manager, Goodreads)


But I do wish that my ratings were included, not just my tags (if they are, it doesn't seem like it).
Also, I'd rather have 5 dead-accurate recommendations than 2000 almost-considerable ones.
If you bring those two variables together in the algorithm, suddenly you get a recommendation that's more "because you really liked this, and really liked that, you'll probably love this."




Colleen wrote: "I'm ambivalent. I have piles of unread books. Many of the recommended books are in my piles. Others I've decided not to read. But often the difference between what I already know about and even own..."


I think it works great--its really giving me ideas of books to read and helping me to remember books that I forgot all about!!

The only issue I've found with it so far, is that it's recommending titles that are already on my shelves, albeit different versions ( Neil Gaiman's Neverwhere, for instance ).
Can't wait for this to be implemented on the iOS app....




The more you indicate "not interested" on those children's titles, the less they will show up. The algorithm gets smarter based on your feedback. You might also try putting your younger titles on their own shelf and opting them out of recommendations (on the "edit bookshelves" page).
Susan wrote: "When I tried to rate already read books, I got a message "problem saving"...
What browser are you using? Does this happen on multiple browsers?
Timothy wrote: "Great , but it needs a little work. I have many books recommended, that are written in languages that I don't speak or read. Am I set up wrong or is a fix needed?"
Oops! Would you mind sending some examples to support [at] goodreads [dot] com so we can investigate?
(Customer Care Manager, Goodreads)

Were they different editions of the same book? Which books were these? (this will help us to prevent this from happening in the future)
(Customer Care Manager, Goodreads).




The genres are based on your favorite genres.

You can edit your "favorite genres" by hovering over the question mark next to "Recommendations by Genre" (on the right). Just click "favorite genres".
As soon as you do so, you will start receiving recs for the genres you picked.



For example, at present I am recommended to read about 10 books that I have already marked as read in my aacount.


This way, if I mostly read in French, the recommendations I get would be mostly French language authors. Thanks!


I just found this site a couple of months ago, I want to thank all the people who work on Goodreads for improving my reading experience by connecting me with great books, reviews and people. Thank you!

A saucy secret! Goodness me Goodreads, whatever next.


mine has 800-something! lol! i wish you luck. and, by the way, i LOVE your name (especially artemis fowl XD)