In embodiments, the present invention provides a method and system for managing playback of content delivered to a mobile device with a pause and resume functionality. The method and system including receiving delivered content on a mobile device, initiating playback of the delivered content, pausing playback of the content being delivered to the mobile device in response to an action and resuming delivery of the content upon a request.

There are provided systems and methods for iteratively improving an advertisement response model. A payment provider may perform operations that include training an advertisement response model using a training data set. The operations include determining that a first accuracy value corresponding to the advertisement response model is less than a accuracy value threshold. The operations further include identifying, based on executing the advertisement response model using a target data set that is different from the training data set, one or more units from the target data set for which to run the advertising campaign. The operations also include receiving one or more responses corresponding to a run of the advertising campaign with respect to the identified one or more units from the target data set and updating the training data set based on the one or more responses. The operations further include training an advertisement response model using resulting training data and repeating the operations as long as the accuracy value of the resulting model stays below the threshold or until the increase in the accuracy value with each iteration becomes unprofitable with respect to the costs of acquiring responses from further units from the target dataset.

A vehicular display device includes at least one display panel arranged on a vehicle body of a vehicle and configured to display an image, and a display control unit configured to control display of the image. The display panel includes a movable portion provided on the vehicle body, and the display control unit includes an image control unit configured to control a display form of an image when the movable portion is operated.

The system and method of the present invention provides customers with real-time information in order to evaluate future consumer spending capacity. The present invention can help to identify situations beyond traditional credit metrics to determine change of circumstances for end-consumers. The system allows for selection of consumers based on data trends and learned industry risk and behavior indicators.

Systems and methods are provided for electronic stimulus evaluation through one or more signals. The one or more signals protect underlying raw data relating to behavior, including purchase behavior and location-based behavior. A server platform in network communication with at least one signal buyer computer and at least one signal provider computer facilitates creation of the one or more signals. Anonymized object identifiers are used to identify objects or consumers associated with behavior data and exposure to the electronic stimulus. The server platform provides optimization analytics for the stimulus based on the one or more signals, which include measurement signals, behavior signals, and lift signals.

An addressable asset system (100) includes user equipment devices (UEDs) (102), a cloud decisioning system (CDS) (106) and a business data management system (BDMS) (108). The BDMS (108) collects information that is used by the CDS (106) to manage delivery of assets by the UEDs (102). In an exemplary network architecture, the CDS (106) is independent of the network insertion and delivery equipment. In particular, the broadcast content stream is delivered to the UED (102) by a digital content management(DCM) system (110) and certain assets are separately delivered to the UED (102) by the asset download network (AND) (112). This allows the CDS (106) to remain independent of the network of the UED (102) such that the CDS (106) can operate across networks.

The present invention is directed to machine-learning based methods and systems related to dynamically inserting items multimedia content into media broadcasts. By using machine-learning based models, the performance of different items of multimedia content with different audiences can be automatically simulated, resulting in recommendations for where, when and how to optimally distribute those items of multimedia content. The multimedia content can be distributed by dynamically integrating that multimedia content into a streaming video feed. The reaction of an audience to the multimedia content is then automatically monitored, collected, and analyzed using machine-learning techniques, allowing the reaction of the audience to the multimedia content to be automatically determined. This reaction can then be input back into the machine-learning based simulator, further refining future predictions for the performance of items of multimedia content with audiences.

An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated management of campaigns using scripted rules.

A computer implemented method includes allocating to an advertisement campaign, planned bookings for certain time periods and for certain digital displays from an Out Of Home inventory. The method also allocates, by a real-time bidding process, unplanned bookings to the time periods. Forecasts of unplanned bookings demand are taken into account in allocating planned bookings.