[D]How to deal with blank fragments in time series analysis? • r/MachineLearning

Now I am going to use CNN or RNN to extract features in a time sequence, for example, a sequence related to user clicks, (Oct 10 19:20:30 click page 10, Oct 10 19:20:35 click page 22, etc). Simply, I can represent the two clicks as 000...10.....22...000 (0 for no click). As you can see, if use one number for the action in one second, that will generate a quite long sequence with a lot of blank fragments, which is not good for RNN or CNN. But we remove all zeros, only with 10-22 we don't know the time interval between two clicks. So, can anyone give a suggestion on how to express this kind of sequence properly so that we can combine it with neural networks easily?