A task circumstance processing system includes a processor that executes a process. The process includes: referencing a recognition information stored in a memory, the recognition information stores, for each of plural task processes in task definitions defining relationships between the plural task processes, recognition information for recognizing execution of each of the plural task processes, and extracting for each of the task processes a timing where the recognition information is expressed in observation data from observing circumstances of the task; and outputting a result of comparing a relationship between plural task processes that have been executed as identified by the extracted timings, against a relationship between plural task processes defined by the task definitions stored in the memory.

Various embodiments are directed towards a product placement system that enable a media buyer to define a persona, which is a visual representation of a fictitious individual that represents a target audience for a placement campaign, and a placement is a visible display of a product that is placed in a media vehicle. The invention stores the persona, which represents a target audience, ingests data that about placement opportunities, identifying one or more opportunities whose characteristics overlap the characteristics of the target audience, calculates an audience score, identifies one or more opportunities with which the target audience engages using social media, and calculates an engagement score that measures the relative level of engagement with the identified opportunities by the target audience.

A system may generate abstracted graphs from a social relationship graph in response to a query. A query may identify a person for which permission has been obtains to collect their data. The abstracted graphs may include summary statistics for various relationships of the person. The relationships may include other persons, places, things, concepts, brands, or other object that may be present in a social relationship graph, and the relationships may be presented in an abstracted or summarized form. The abstracted form may preserve data that may be useful for the requestor, yet may prevent the requestor from receiving some raw data. When two or more people have given consent, the data relating to the consenting persons may be presented in a non-abstracted manner, while other data may be presented in an abstracted manner.

A method and system for placement of graphical objects on a page to optimize the occurrence of an event associated with such objects. The graphical objects might include, for instance, advertisements on a webpage, and the event would include a user clicking on that ad. The page includes positions for receipt of the object material. Data regarding the past performance of the objects is stored and updated as new data is received. A user requests a page from a server associated with system. The server uses the performance data to derive a prioritized arrangement of the objects on the page. The objects are arranged according to a calculation and returned to the user on the requested page.

Disclosed is a system and method for distributing media content. The system can include a processor and a memory coupled to the processor. The memory stores executable instructions for causing the processor to detect a stamp key embedded in the media content, and request an ad stamp associated with the stamp key. The stamp key may comprise a unique digital key for the ad stamp. The memory can further cause the processor to communicatively connect to a user system and a content system. The content system may be configured to distribute the media content. The user system may comprise a display and may be configured to receive the ad stamp and present the ad stamp on the display.

The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.

A determination of the relative influences on an advertising conversion that are credited to particular ad impressions across varied channels is facilitated through Shapley value calculation and assignment. A Shapley value is arrived at through assigning binary places in a Boolean value to a plurality of advertising channels and/or platforms, the Boolean values combinable to quickly determine for a particular advertising campaign which of the plurality of advertising channels and/or platforms was influential in a consumer's decision to initiate a transaction for goods or services associated with an advertisement rendered via the plurality of advertising channels and/or platforms. In this manner, an advertiser having arranged for messages associated with an advertising campaign to be distributed via disparate advertising channels and/or platforms may realize the relative performance of the various advertising channels and/or platforms.

Data traffic, such as wireless data traffic egressing to the Internet, is aggregated at one or more regional aggregation hubs, and a portion(s) of data traffic associated with a subscriber(s) of interest is captured at the regional aggregation hub(s). Data traffic associated with subscribers can be aggregated at an access concentrator(s) and respective public Internet Protocol (IP) addresses can be given to respective subscribers. The data traffic can be aggregated at the regional aggregation hub(s) and data traffic associated with a subscriber(s) of interest can be identified based at least in part on the public IP address(es) of the respective subscriber(s) of interest. The data traffic associated with a subscriber(s) of interest can be captured and provided to a consumer (e.g., law enforcement, service provider) who desires such data.

A computer-implemented method, medium, and system are disclosed. In one computer-implemented method performed by a blockchain node in a blockchain network, a traffic access request triggered by event tracking is received at the blockchain node. In response to receiving the traffic access request, traffic recording logic in a smart contract published on a blockchain is invoked at the blockchain node. Traffic statistic information of current traffic access is recorded in response to invoking the traffic recording logic. The traffic statistic information is published to the blockchain.

Inventory data is stored, wherein the inventory data represents for each of a plurality of broadcast stations a corresponding inventory of audio advertising spots available from that broadcast station to be filled by an advertising placement system. An advertising campaign data representing a set of advertising objectives of an advertising campaign is received. The inventory data is used to iteratively select advertising spots to be associated with the advertising campaign, based at least in part on a respective computed fitness of match between each selected advertising spot and said advertising objectives.