A content delivery system using social affine targeting may include a device that determines, based on presence information received from mobile devices, users in a vicinity of an electronic billboard. The device may further determine, based on user behavior information relating to the users, affinities of the users; and determine commonality of the affinities of the users. Still further, the device may select, based on the determined commonality of the affinities, one or more advertisements to present by the electronic billboard; and transmit the selected one or more advertisements to the electronic billboard.

A data processing system and method for delivering a personalized recommendation to an individual, using computerized, dynamic assessment and classification of communication interaction records, is described. The system and method comprises a machine learning application to (1) classify a persona based on communication processing of communication interaction records captured over time, and (2) generate an adaptive personalized recommendation for use within a coaching, advisory or other personalized service. The system and method allows for improved assessments and identification of factors affecting achievement of a goal or outcome, thereby allowing for adaptive, personalized recommendations, improving delivery of personalized support services, and improved success rates for achieving a defined outcome. The system and method may also be used to create a collection of persona analytics information that may be used to visualize and evaluate trends associated with an individual or within a given population.

A media targeting system may be configured to coordinate media and manage media conflicts in its delivery to consumers. The media targeting system may in near real-time arbitrate between all offers assigned to a particular consumer or available to the consumer via one or more channels to ensure that a consumer only receives non-conflicting offers during particular time periods. The media targeting system may translate offers into a real-time, in-store loyalty environment including consumer real-time behavior assignment into traits in order to make a real-time offer assignment based on the traits.

Methods and systems and mobile device interfaces for creating, joining, organizing and managing via mobile devices affinity groups in a cloud computing environment for social and business purposes.

A social networking system generates an advertisement, a recommended budget, and recommended targeting criteria for an object maintained by the social networking system for presentation to social networking system users. Information associated with the object by the social networking system is used to generate elements of the advertisement, the recommended budget, and the recommended targeting criteria. Different budgets, each associated with a predicted return on investment, may be determined, allowing an advertiser to select a budget based on the return the advertiser receives from presentation of the advertisement. Additionally, an advertiser may modify the recommended targeting criteria, recommended budget, or elements of the generated advertisement to customize presentation or distribution of the advertisement.

Methods and systems for facilitating communications between user computing devices and online entities (such as web sites, advertisers, and/or advertising networks or exchanges), and safeguarding user identifiable information and ad targeting data from those entities are provided. Communications sent from user computing devices and directed to the entities are intercepted, and those communications are processed to encrypt, or otherwise remove, user identifiable information therein. The processed communications are transmitted to the intended entities, targeting data calls are received from those entities for ad targeting data associated with users of those computing devices, and at least a portion of such ad targeting data is provided to the entities when certain predefined conditions are met.

Systems and methods are disclosed that recommend one or more electronic presentations to a user based on one or more factors. These factors may include contextual information, behavioral information, profile information, or combinations of the foregoing. Contextual information may include content and/or features extracted from a given electronic presentation. Behavioral information may include user behavioral data, such as the number of times a user has viewed a presentation, the amount of the presentation viewed by the user, presentations previously viewed by the user, and other such behavioral data. Profile information may include user professional profile information, such as skills the user has identified as possessing, employment history information, and other such user professional profile information.

A method for representing and managing an inventory of overlapping multi-dimensional items such as advertising or ad impressions. The method uses an inventory management module to generate unique segment identifiers for sets of inventory items by processing descriptions of the sets of impressions including defining criteria. The method includes processing the unique segment identifiers to create a representation of the inventory as a plurality of inventory regions, which may include non-overlapping regions that correspond to inventory items in a single set of the inventory and also include overlapping regions that correspond to inventory items in two or more of the sets (e.g., items that match two or more sets of defining criteria or attributes). Availability and selection of inventory is determined using the information on inventory regions to control effects of cannibalization, such as by implementing logically necessary allocation to only cannibalize a region on a limited or forced basis.

A system and method that assigns a portable personal rating based on data verification. The decentralized system and methods operate with algorithms, software, devices, and databases allowing a decentralized distribution of token rewards based on the trust rating of the user. The system uses blockchain technology and is directed to a decentralized trust rating assignment wherein the verified information is saved in a blockchain ecosystem.

A computer-implemented method includes generating, using a transaction management computing subsystem of an advertising platform, a set of primary bid requests responsive to receipt of an advertising call. Each primary bid request includes information sufficient to characterize an impression consumer and information sufficient to characterize each of one or more impressions identified in the advertising call. The method also includes sending the set of primary bid requests from the transaction management computing subsystem to a first set of decisioning computing subsystems of the advertising platform. Each decisioning computing subsystem of the first set being operable to generate a bid response based on the information included in a primary bid request. The method further includes selecting, using the transaction management computing subsystem, a first bid response from among the bid responses generated by the first set of decisioning computing subsystems; and taking, by the transaction management computing subsystem, an action on the first bid response.