Abstract: A system and method for the generation of interactive content by combining, blending, layering, mixing, generating or any combination thereof, of multiple digital contents, where the generated contents are controlled by interaction with viewers via live signals from sensors or by detecting and interacting with viewer mobile computing devices or any combination of user signals and additional information derived from signals to generate the control.

Abstract: A method and system is described for modeling the content evolution of an accessed document and predicting an associated outcome for said document. The system accesses a document but can further receive additional tags, metadata, or related information that characterizes the nature of such text collection. The invention applies various processing to separate the document into elements and performs semantic modeling to create a narrative model that describes the evolution of the contents of the elements in terms of their respective sequencing. This system then uses a set of training documents with target values assigned to them to predict an associated outcome for the accessed document. The most relevant subset of a training set can be selected by matching metadata information that characterize the accessed document and a collection of metadata that characterize other broad document sets.