If you trained a model for this, how would you avoid having to run the entire training process again every time you needed to add another song?
I wonder if there's a way to build an embeddings model for this kind of thing, such that you can calculate an embedding vector for each new song without needing to fully retrain.
I wonder if there's a way to build an embeddings model for this kind of thing, such that you can calculate an embedding vector for each new song without needing to fully retrain.