Question about Tutorial: Build, Train, and Deploy a Book Recommender System Using Keras, TensorFlow.js

Hi!

I stumbled upon this Medium article – Build, Train, and Deploy a Book Recommender System Using Keras, TensorFlow.js, Node.js, and Firebase – in order to get started with machine learning in general. One could say, I’m quite new to the field, so please excuse my stupid questions 😀

What would be a good way to continuously add user ratings to the model, instead of training it from scratch with the complete dataset every time there is an update? What I would like to avoid is having to fetch and process the complete dataset every time there are only a few new user ratings. Is this even possible?

Or, in other words: What are options for doing this in real time? Re-training the model from scratch every time a user rates something seems a bit of an overkill for whatever server that processes this data.

I would be very thankful for some insights and/or somebody pointing me in the right direction with this. Thanks!