Aspects of the subject disclosure may include, for example, receiving information defining an attribute of interest for the impression, wherein the attribute of interest comprises a plurality of categories of values, and receiving information defining a respective probability for each respective value of the plurality of categories of values for the impression. Further, information about current values of the plurality of categories for the attribute of interest may be received and a pacing value may be determined based on the respective probability for each respective value of the plurality of categories of values, along with the information about current values the plurality of categories for the attribute of interest. A respective bid value of a bid may be adjusted using the pacing value and the adjusted bid value may be used in an auction to fill the impression. This permits automatic detection and correction of an inadvertent skew introduced when serving ads and other content. Other embodiments are disclosed.

A business accesses a campaign server and inputs information relevant to a marketing campaign. The server sends invitations to social media influencers, who then post content to various platforms to influence customers to act in ways beneficial to the business, either by further advancing the marketing campaign or by actually generating revenue for the sponsor. The system tracks the social media reactions of customers (likes, shares, etc.), as well as real-world activity (product purchases, physical attendance at advertised locations, etc.), attributable to each influencer, and points are awarded based on the activity they generate among customers. The points are weighted according to the type of activity generated and/or the social media platforms on which the activity is generated, and the running point totals of the influencers are published to foster competition among them. A total reward is allocated and paid to the influencers according to their relative total accumulated points.

Methods and apparatus for pre-scaling media content to facilitate audience measurement are disclosed. An example method includes encoding a media content sample in accordance with a first encoding configuration and playing the encoded sample. The example method also includes attempting to detect the codes in the sample, and computing a ratio between the codes encoded in the sample and the codes detected when the sample is played.

A content attribute acquisition unit acquires a plurality of pieces of content attribute information respectively indicating attributes of a plurality of contents to be displayed before a main part of a movie. An order determination unit determines, using the plurality of pieces of content attribute information, a display order of the plurality of contents and outputs order information indicating the display order to a screening content generation device. A content storage unit stores the plurality of contents as well as the plurality of pieces of content attribute information. The content attribute acquisition unit acquires the plurality of pieces of content attribute information from the content storage unit, and also acquires the plurality of contents from the content storage unit. The order determination unit outputs to the screening content generation device, the order information together with the plurality of contents acquired from the content attribute acquisition unit.

An information processing device applies a machine learning model to content for a specific thing for sale to generate changed content in which a predetermined portion other than the specific thing for sale in the content is changed, provides a user with the changed content having been generated, and applies a machine learning model to content for another thing for sale and changes a predetermined portion other than the other thing for sale in accordance with an action of the user with respect to the changed content in the content for the other thing for sale to generate changed content for the other thing for sale.

Systems, methods and articles for optimizing the clearance of content, such as advertisements. The systems disclosed herein provide a greater chance that offers to buy advertisement placement opportunities from media providers are accepted by the media providers. This is achieved by matching advertisements to advertisement placement opportunities which match buyer goals and provider goals, and by using historical data related to advertisements that the seller has cleared. The system may optimize clearance for multiple buyers which are competing for the same advertisement placement opportunities at the same time.

A method is proposed for providing a content page in an application. In the method, a media item is generated, and the media item is associated with respective resources in a resource list that is received from a resource provider. The media item is presented in the application. A content page is caused to be displayed in response to detecting an interaction event of a user of the application with the media item, the content page including respective content items for the respective resources. Therefore, the media item and the content page are generated and displayed in an automatic way for the one or more resource providers without any label work from the resource providers.

A system and method for delivering promotional rewards to a customer mobile device comprising a promotional reward wheel, a media server, and messaging application operating on the customer's mobile device. A customer interacts with the promotional reward wheel and the system captures that interaction and responsive to the promotional reward that was won by the interaction, generates a message on the customer's mobile device with a means to claim the reward by sending the generated message to the appropriate message endpoint.

A method is disclosed for enabling a network location to provide an ordering process for data relevant to connected network devices' activities. The method includes assembling the data, utilizing the activity data, and associating the data, such that information is derived to enable a desired expansion of at least one designated activity. Another method is disclosed for managing an object assignment broadcast operations for a network location based on a network device's previous activities. This second method includes tracing a network device's conduct to determine that a network device prefers a particular class of content. The method also includes tagging a network device's profile with the respective observation and deciding by a network location as to the classification factor for a network device to be targeted for an object assignment broadcast.

A wireless charger system for inductively charging a rechargeable battery of an implantable pulse generator (IPG) implanted in a human body is provided. A charging coil in the charger is wirelessly coupled to a receiving coil of the IPG to charge the rechargeable battery. An end-of-charge (EOC) circuit continuously monitors the reflected impedance from a reflected impedance sensor and determines the end of charge when a predetermined pattern of the reflected impedance corresponding to an EOC signal from the IPG is received. Advantageously, receiving the EOC signal through the charging coil eliminates the need to provide a separate communication circuit in the IPG that communicates with the charger.