Abstract: Representative embodiments disclose mechanisms to extract an emotional state from contextual user data and public use data collected from one or more devices and/or services. The contextual and public data are combined into an enriched data set. An emotional model, tailored to the user, extracts an emotional state form the enriched data set based on one or more machine learning techniques. The emotional state is used to identify one or more actions that change operation of one or more devices and/or services in order to achieve a change in emotional state, compatibility between the emotional state and device and/or service interaction with the user, or both. Implicit and/or explicit feedback is collected and used to change prediction of the emotional state and/or selection of the actions.

Abstract: Systems, methods, computer storage media, and user interfaces are provided for providing intent and task driven advertising. A search interaction is received from a user. The search interaction may include one or more intent signals. The search interaction may indicate the user is consuming content. A task driven module corresponding to the search interaction is provided. One or more additional intent signals are received from the user. An advertisement module is provided via the task driven module based on the search interaction and the additional intent signals. The advertisement module may be based on an advertisement campaign selected in response to the search interaction based on advertising obligations. A consumer decision journey state may be stored for the user allowing the continuation of the advertisement module without reentering a search associated with the search interaction, without reentering an application associated with the search interaction, and/or on a new device.