Have you just finished reading a book and looking for the next great read- if yes, let MindMap feature on bookclub.ai help you out. It uses vector space embeddings to suggest similar books based on your current read and presents a visual representation similar to how human brain would perceive the similarities across books. Size of the bubble is based on popularity as rated by users on Goodreads. We have shown maximum 30 books for every book selected. Our advanced artificial intelligence has been trained on billions of parameters, including BERT (Bidirectional Encoder Representations from Transformers), to provide personalized book recommendations. And with the Mind Map feature, finding similar books has never been easier.
How does it work? The Mind Map feature uses vector space embeddings to suggest books that are similar to your current read. Simply enter the title of the book you’re currently enjoying, and the Mind Map will generate a list of recommendations based on shared themes, genres, and more.
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