3
$\begingroup$

I have a set of tags (~10'000, will be extended over time) presented to a user. After he has selected 3 or more tags, I want to predict for each remaining tag what the chances are that the user will select this tag as well. I strictly need the prediction for all remaining tags. The prediction should be fast but accuracy isn't that important. The training data would be cases where users already have selected a subset of tags. What would be a good approach here?

$\endgroup$
1
$\begingroup$

welcome to ML and data science. This is a classic situation where a RNN would be usefull. You could either train one from Keras yourself which would help you learn and get a better model but might take more time. Or you could use a more pre-made soloution if this is your first project maybe something like TextGenRNN (will still recquire a bit of modification).

RNN theory

Examples in python

More examples

TextgenRNN Library

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.