I dream of a good recommendation system because Goodreads is completely terrible. I just want to know two things: which books are similar and which books I would like, beyond typical recommendations. Something akin to what platforms like VOD, YouTube, and Netflix offer. For me, this is the most important killer feature.
We’ll definitely have this at some point. A good recommendation system needs a solid base of user data, so it’s only possible once we have a larger user base. I really wanted to have this for the launch since it seemed so important for a book tracking platform but we didn't have the data to train models to make recommendations.
I mean, not really you don't need user data; I was doing something related with LLM (simply asking it) and planning to use vector databases for various tasks, like semantic search, similarity matching, clustering, and topic modeling.
Later pivoted to doing something for podcasts (analysing transcripts).