Sequential recommendation is an important task to predict the next-item access based on a sequence of interacted items. Most existing works learn user preference as transition pattern from previous item next one, ignoring time interval between these two However, we observe that in may vary significantly different, and thus result ineffectiveness modeling due issue drift. In fact, conducted empi...

Financial and economic series prediction was very important for the study of time series. Because traditional analysis method mainly suitable stable data cannot be applied to unstable variables, this paper proposed a knowledge model financial slot algorithm, which provided basis solving data. Firstly, based on relevant methods at home abroad, allocation algorithm designed path level introduced ...