A sequence model is a model designed for data in which order or temporal dependence matters. It is used for tasks such as language modeling, translation, speech processing, time series prediction, and recommendation based on prior events.
A model whose inputs have a sequential dependence. For example, predicting the next video watched from a sequence of previously watched videos.