In order to handle this problem, in the model training stage, we randomly mask the long-term representations of users with a certain probability p. When we mask the longterm representations, all the dimensions are set to zero.
the long-term user representation in our LSTUR approach can be reformulated as: where B is Bernoulli distribution, and M is a random variable that subject to B (1, 1−p).