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Implementation of the paper "Last Query Transformer RNN for knowledge tracing" in PyTorch. (Kaggle 1st place solution)
Hi, having readed your paper, I have some doubts about your inputs, can you please anwer it.
In yout paper "Categorical embedding is used for first three features, and continuous embedding is used for last two continuous features."
but how you make continuous embedding?
'Timestamp difference' feature indicates the difference from the past question timestamp to the current question timestamp, and it is clipped by maximum value, 3 day.
how you fill the first 'Timestamp difference' in a sequence?
Thanks!
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