How should categorical features be encoded to substitute values for x_i and x_j when modeling Factorization Machines? The large number of categorical variables makes one-hot encoding impractical.

Embedding vectors are used to learn v_i and v_j.



Your Answer

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

Browse other questions tagged or ask your own question.