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Currently, the suggested cargo dialog will guess about the likely industry so it can suggest appropriate cargos. The current success rate for a training set is 60% of the guesses are correct, and 85% have the correct industry in the top three suggestions.
We should see if we can improve these success rates.
The text was updated successfully, but these errors were encountered:
Currently, SwitchList uses a machine learning technique based on similar words to make the guess. (There's also a couple heuristics that strengthen certain terms.)
I tried switching to an approach that looks for similar character pairs; this turned out to be much worse (success rate of 30% on same training set) because cases like "paving" and "canning" appeared to group together because of the "ing" similarity. Other approaches (similar strings) fail in similar ways.
Currently, the suggested cargo dialog will guess about the likely industry so it can suggest appropriate cargos. The current success rate for a training set is 60% of the guesses are correct, and 85% have the correct industry in the top three suggestions.
We should see if we can improve these success rates.
The text was updated successfully, but these errors were encountered: