I scraped 3B Goodreads reviews to train a better recommendation model
Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://book.sv/intersect - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://book.sv/remove-my-data) Technical info available here: https://book.sv/how-it-works Note 1: If you only provide one or two…
In plain words
Book.sv is a website for book readers that offers personalized recommendations based on a model trained on over three billion Goodreads reviews. Users input a list of books to receive suggestions for what to read next. The site also includes an Intersect feature that identifies Goodreads users who have read the same set of books, with an option to opt out of these results.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://book.sv/intersect - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://book.sv/remove-my-data) Technical info available here: https://book.sv/how-it-works Note 1: If you only provide one or two books, the model doesn't have a lot to work with and may include a handful of somewhat unrelated popular books in the results. If you want recommendations based on just one book, click the "Similar" button next to the book after adding it to the input book list on the recommendations page. Note 2: This is uncommon, but if you get an unexpected non-English titled book in the results, it is probably not a mistake and it very likely has an English edition. The "canonical" edition of a book I use for display is whatever one is the most popular, which is usually the English version, but this is not the case for all books, especially those by famous French or Russian authors.
Does the same job
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Since 2005, Goodreads has been the default book tracking site, connecting millions of readers. But let’s be real—it’s barely changed in 20 years. It’s the same site it was, just with more ads. Still no half-star ratings. No proper DNF (Did Not Finish) option. UI still looks like it's from 2005. Amazon owns it and doesn't care. So I built Kaguya, a modern alternative, over the past 9 months. What’s live: Custom shelves (Organize however you want) Rich-text reviews (format your thoughts properly) 10-star rating system (More nuance than 5 stars) DNF, On-Hold, and other reading statuses Likes,…
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Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…
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Hello HN, I noticed that I often looked for new books, depending on my mood (e.g., if I'm feeling tired, I want to find books that'll help me fix that and improve my sleep). So, I created my 1st indie project, BooksByMood. BooksByMood will help you find your next read based on your mood w/ - Books averaging 4.09/5 on Goodreads - Each book comes with an explanation of why it's selected for your mood - 18 moods to explore I hope you'll enjoy using the website, Cheers!
- IMI made a table comparer to quickly find a new book to read2025 · nextread.info · ▲51
After a few weeks of programming a few minutes at the time, next to my full time job, I created this tool that helps you pick your next book from your long(er) want-to-read list. In essence, it is a table with filters and column sorters. My problem was that the Goodreads website does not allow you to filter multiple columns at a time. That is why I created an alternative way to go through your books. Unfortunately, Goodreads no longer shares API keys, so it relies on its export functionality for a csv file. Not all the required information for your book search is present in this CSV file. To…
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