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Intelligent book recommendations
based on millions of connections.

Find your perfect book

A Book Like Foo is an book recommendation engine. It will discover books tailored to specific tastes and themes, selected from hundreds of thousands of titles. It learns over time, adapting to the changing tastes of readers through the years.

Often it will reveal unintuitive but accurate relationships between different books, without being limited by the assumptions we make about what people like.

Please start exploring! Check out some of our favourite queries:

  1. I, RobotA Scanner DarklyThe MartianI, RobotA Scanner DarklyWhich early 20th century titles might be liked by readers who enjoy Asimov?
  2. I Know Why the Caged Bird SingsLetter to My DaughterSingin' and Swingin' and Gettin' Merry Like ChristmasI Know Why the Caged Bird SingsLetter to My DaughterWhat recent non-fiction titles are most adored by fans of Maya Angelou?

Try searching for you own favourites and see what matches with your most-adored books.

How does it work?

  1. Entering the literary void: Think of your favourite books (the more the better!) and input them into the search bar. The characteristics of each of these books, like their genre and time period, are used to create a query which is run against our database. This is where millions of relationships are found between almost half a million books. In simple terms, you’re entering a giant matchmaking network for books!

  2. Path-finding your next binge read: The query travels through the database via the paths that link your chosen books together. It then discovers “co-affections” – or similarites – that exist for your favourite books. From thousands of possibilities, it tells us which books are typically reviewed highly by readers that have also read your favourites.

  3. Browse the shelves: The paths found reveal a range of titles from all genres, which are ranked by characteristics like general popularity, themes and authorship. In the end you’ll find a specific order of results, with the first few being the most correlated with the books you put in at the start. Now all that’s left to do is explore the shelves of your own virtual and bespoke bookshop!

[Experimental] Looking for some regular recommendations based on singular titles?

These are more traditionally discovered book recommendations gathered from the same rich dataset. They're still based on statistical "collaborative" insight and will reflect titles that readers of these books will find equally enjoyable. Here's a selection to get you started on your path of discovery:

  1. Books similar to “Dune” by Frank Herbert
  2. Books similar to “Parable of the Sower” by Octavia E. Butler
  3. Books similar to “Cosmos” by Carl Sagan
  4. Books similar to “Leonardo da Vinci” by Walter Isaacson
  5. Books similar to “1Q84” by Haruki Murakami
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James Padolsey, creator, (on Mastadon)