IMO it would be interesting to try to combine the two approaches (curation + auto tagging).
It starts out with the user scaffolding an initial hierarchy, then (after enough usage to provide meaningful data for ML predictions) the ML model predicts on subsequent entries, and asks the user for approval (which feeds a reinforcement learning model)
IMO it would be interesting to try to combine the two approaches (curation + auto tagging).
It starts out with the user scaffolding an initial hierarchy, then (after enough usage to provide meaningful data for ML predictions) the ML model predicts on subsequent entries, and asks the user for approval (which feeds a reinforcement learning model)