Sequence prediction aims to predict elements of the sequence on the basis of the preceding elements.
A prediction model is trained with the set of training sequences. On training, the model is used to perform sequence predictions. A prediction comprises predicting the next items of a sequence. This task has a number of applications like web page prefetching, weather forecasting, consumer product recommendation, and stock market prediction.
Examples of sequence prediction problems include :
* Weather Forecasting. Given a sequence of observations about the particular weather over a period of time, it predicts the expected tomorrow’s weather.
* Stock Market Prediction. Given a sequence of movements of the security over a period of time, it predicts the next movement of the security.
* Product Recommendation. Given a sequence of the last purchases of a customer, it predicts the next purchase of a customer.
