Looking for more reads that vibe with your favorites? We'll serve up suggestions based on books you've loved before. Not sure where to start? Discover recommendations by genre, keyword, or trope.
Hey Phenomenal Hunters! 🚀
I'm Ron, and I'm thrilled to introduce you to Meet New Books - your next chapter in discovering incredible reads! 📚✨
We all know the struggle of finding that next great book, right? Dive into a universe where every recommendation is tailored just for you, unlocking worlds you'll adore exploring! 🌌📖
👀 Why Peek Into Our Pages? 👀
📘 Find Books from Favorites: Discover enchanting tales aligned with your previous favorites! Loved a book? We’ll guide you to more that’ll tug your heartstrings in similar ways.
🧐 Trope & Genre Explorer: Navigate seamlessly through various tropes and genres! Whether you’re into slow burns, mystery thrillers, or fantasy adventures - your next favorite world is just a click away.
🤖 Personalized Recommendations: Our intuitive system takes a glimpse at your shelf, embracing your tastes to weave a reading journey distinctly yours, consistently surrounding you with captivating narratives.
🤝 Reader Synergy: Connect with bibliophiles who share your literary appetite! Get recommendations from readers who’ve walked similar fictional paths and unearth hidden gems they’ve discovered along the way.
We’ve boundless enthusiasm for stories, and we’ve poured every ounce of it into Meet New Books. Whether you’re a sci-fi sorcerer, a non-fiction ninja, or a romance revolutionary, we’ve got your next favorite book waiting! 🧙♂️📕
I'm here all day to chat, unravel your queries, and weave through your valuable feedback! Let’s turn the page together and redefine how we discover stories that move us! 🚀📚💫
Happy Reading,
Ron 🚀📚
amazing concept! where does the data come from? for "Slaughterhouse 5" the website suggested a few other Vonnegut's titles - not super ground-breaking. For Franzen's "Freedom" suggestions were much more interesting, mostly from other authors, which I now need to check out. How does it work in general?
@max_kotin Thank you for checking it out. We are continually tweaking our recommendations, striking a balance between catering to experienced readers and new readers, albeit with a slight bias toward the latter. Consequently, you may notice that more books by some of the more popular authors are recommended to you.
As for how it works, we have been building a database of book-to-book relationships for the past few years, starting with my personal notes on the books I've read. This involves considering various factors such as genres, readership data, social media activity, and recommendations from other readers. Recommending a 'similar' book is then a matter of aggregating the weights of these relationships and ranking them accordingly.
@max_kotin When I'm not coding, I'm reading :) Started this during the COVID pandemic, when I ran out of interesting books to read. Thank you for your support
Meet New Books
Meet New Books
Meet New Books
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