FORECASTING WEB METRICS USING STATISTICAL CAUSALITY BASED FEATURE SELECTION

摘要

Embodiments of the present invention relate to forecasting metrics, such as web metrics, using causality-based feature selection. In embodiments, a set of potential features from which to generate a forecasting model is referenced. The set of potential features includes lags of observed features. A subset of features is selected, from among the potential features, that causally relate to a target web metric for which a forecast is desired. The selected subset of features causally related to the target web metric is used to generate the forecasting model. Such a forecasting model can be used to forecast an outcome associated with the target web metric.