The truncation window algorithm
determines what data is out of date and removes it from the model.
For example, say there is an option that promotes
Valentine's Day. It will significantly change in popularity on or about the
14th of February. The goal of the truncation windows is to find the right data
time window to use that includes enough data but is still current and accurate.
The data window can vary from seven to 84 days.