Tensorflow Recommenders maintenance guidelines


I am in the process of building a recommendation system using Tensorflow Recommeders.
Are there any guidelines as how to maintain the model once deployed into production? i.e. how often should the model be retrained? is it required to retrain the model on the entire dataset or use new data entries to continue training from the previous checkpoint?

Any resources/documentation will be greatly appreciated.


1 Like