Users can rate the movies that the app recommends (after watching) and then the model trains with the new information and the app displays the refreshed recommendations based on the new rating.
AC:
[ ] There is an interface for the user to rate the recommendations that are being displayed.
[ ] The new ratings are saved in our training dataset, and user embeddings are updated accordingly.
[ ] The model is retrained after 5 new user ratings are collected.
Users can rate the movies that the app recommends (after watching) and then the model trains with the new information and the app displays the refreshed recommendations based on the new rating.
AC: