Presented is a method and system for providing an incentive to a viewer for watching an advertisement. The method includes receiving a triggering event from the viewer, providing an interactive window on receiving the triggering event, receiving an input from the viewer while interacting with the interactive window, performing an action based on the input from the viewer, wherein the action includes presenting the selected advertisement to the viewer if the input is selecting at least one advertisement from the advertisement group, and capturing advertisement preferences of the viewer through a user interface if the input is clicking a user interface element related to advertisement preferences from the one or more user interface elements. Further, the method includes providing an incentive to the viewer, and facilitating the viewer's redemption of the incentive for rewards.

In one aspect, an example methodology implementing the disclosed techniques includes, by a survey workflow module, receiving a survey request event for which a survey is requested and generating a first feature vector for the survey request event, wherein the first feature vector comprises features extracted from the survey request event. The method also includes predicting, by a first trained prediction module, whether the survey request event will result in a survey based on the first feature vector, wherein the first trained prediction module is trained using a training dataset generated from a corpus of historical survey request event-survey data.

A disclosed example includes aggregating first performance results of computer-generated machine learning models to generate aggregated performance results, the first performance results based on a comparison of audience member demographic data to training results, the training results generated by the computer-generated machine learning models based on at least one of: (a) a composition of a household, (b) a type of first media, (c) a daypart during which the first media was accessed, or (d) a time at which the first media was accessed; selecting at least one of the computer-generated machine learning models based on a comparison of ones of the first performance results to the aggregated performance results; and applying the at least one of the computer-generated machine learning models to correct a computer-generated error in computer-collected audience measurement data, the computer-collected audience measurement data corresponding to accesses to second media.

A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.

Systems and methods for dynamically tracking delivery and performance of digital advertising placed on non-personal devices in physical locations and integrating, displaying, and reporting impressions and events in digital advertising systems.

A system and method are provided for employing voice-activated user interfaces to determine user attention to particularly-presented advertising content by collecting user contact/consumer information, presenting content to the user/consumer, and proposing at least one question, inquiry or query to the user regarding the presented content, the at least one inquiry or query calling for a user/consumer response to be collected, at least one of (a) the user/ consumer contact information and (b) the user/consumer response to the question, inquiry or query being collected by the system via a voice-activated user interface and evaluated to assess a level of engagement of the user/consumer with the advertising content. The disclosed systems and methods uniquely provide voice-activated user interface coupled with display of certain advertising content in a manner that promotes user/consumer attention to the advertising content and ease of interaction with the presentation system.

A system that includes a display device, and a processor configured to control the display device to display digital content. The processor further configured to, in response to controlling the display device to display the digital content, increase an incremental value associated with a progressive jackpot from a first incremental amount to a second incremental amount. The processor is also configured to control a progressive meter to display at least one increase of the progressive jackpot by the second incremental amount, such that a running total amount of the progressive jackpot increases more rapidly in response to the digital content being displayed.

Embodiments of the present disclosure provide mechanisms for selection of a user survey data object from a set of user data objects, and processing of survey engagement data associated with a selected user survey data object. The user survey data object selected is appropriate for providing associated with a particular user data object, and the survey engagement data received associated therewith enables programmatic selection and use of particular ranking model(s) for use in generating and providing an output ranked item data object set. Example embodiments utilize selected ranking model(s) of a set of ranking models to programmatically generate and output an output ranked item data object set for a particular user profile.

The present disclosure is directed to generating animated images for presentation by a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive data describing advertisement content, and data describing a first context in which to present the advertisement content; generate data describing a first animated image including at least a portion of the advertisement content; determine a second context in which to present the advertisement content; generate data describing a second animated image including at least a portion of the advertisement content; and communicate, to one or more user devices on which one or more applications are executed, data indicating a plurality of different animated images for presentation by a dynamic keyboard interface in association with the one or more applications, the plurality of different animated images comprising the first animated image and the second animated image.

A method and system are provided for attention tracking of a crowd. The method includes: receiving captured images of at least a subset of a crowd at a live activity at multiple defined points in time; determining the orientation of at least some of the heads in the captured images; and classifying at least some of the heads in the captured images as having a gaze direction towards one of multiple defined areas of interest based on the orientation of each head. The method includes receiving timestamped data of events during the live activity from other sources; and displaying analysis of the classifications over time in combination with the events.