The present disclosure includes systems, methods, and non-transitory computer readable media that generate and provide return of incremental digital content user interfaces that improve performance and efficiency of multi-channel, multi-region digital content campaigns. In particular, one or more embodiments generate and provide a user interface that comprises a return of incremental digital content expenditure regression curve and return of incremental digital content expenditure point representations that accurately and intuitively detail digital content campaign expenditure efficiency for combinations of channels and regions during multiple time periods in a time window. For example, the resulting return of incremental digital content expenditure user interface effectively utilizes limited computing device display space and resources to enable a publisher to quickly and accurately optimize and project high level expenditure allocation in order to improve digital content campaigns.

The present teaching relates to generating combination distributions for ads. A prediction model is obtained via machine learning with respect to a criterion. Training data are associated with multiple ads each having multiple attributes, and include combinations with recorded performance for each ad. Each combination has multiple assets representing respective attributes of an ad. Using the prediction model, performance of each combination of each ad can be predicted and used for generating combination distributions for the ads. Such generated combination distributions are then sent to an explore/exploit layer (EEL) at a frontend ad serving engine so that it can draw a combination associated with an auction winning ad for rendering on a webpage viewed by a user on a user device.

A method comprises receiving an ad event data including data about a plurality of ad events, and including a user ID and an ad ID for each ad event in the ad event data set, where the ad event data set has been anonymized applying a one-way encryption key for each user ID in the ad event data set, and a two-way encryption key for the ad ID in the ad event data set. The attribution processor receives a customer data set including data about a plurality of customers, including a user ID and a customer value for each customer, where the customer data set has been anonymized using the one-way encryption key for each user ID in the data, and a private encryption key for the customer value. Without decrypting the received ad event data set and the received customer data set, the processor then matches ad events for each conversion by comparing the user IDs in the encrypted ad event data set to the user IDs in the encrypted customer data set to create a set of contributing ad events, assigns a share of the customer value to each relevant ad event, sums homomorphically the encrypted customer values for contributing events, and determines a recommendation for serving advertisements.

A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request. The information server includes a volume control unit configured to derive an off-line site visit projection in response to the first document being selected based at least in part on an off-line site-visit-based performance measure and having been impressed on the first mobile device, and to adjust a budget associated with the first document using the off-line site visit projection.

The present invention provides a media distribution system using blockchain comprising: at least one member terminal connected to a blockchain network in which distribution information for media is stored, wherein the member terminal includes a producer terminal that uploads produced media to a control server, a distribution terminal that duplicates the media and re-uploads the media to the control server, or uploads, to the control server, the media reproduced by processing the media, and a consumer terminal that consumes the uploaded media; and the control server comprising a distribution intermediary unit that provides, to the consumer terminal, the media uploaded by the producer terminal or the distribution terminal and stores, in the blockchain network, a block including distribution information on the media, and a currency issuing unit that issues and pays a first cryptocurrency of a preset amount to the producer terminal, or issues and pays a second cryptocurrency of a preset amount to the distribution terminal, wherein the second cryptocurrency is a duplicate of the first cryptocurrency.

Aspects of the subject disclosure may include, for example, receiving a request to forecast allocations for a new descriptor, the new descriptor differing from preexisting descriptors, each of the preexisting descriptors being associated with a subset of locations of a network of locations, each location corresponding to an electronic segment in electronic canvases, and the new descriptor being associated with a new subset of locations of the network of locations, identifying one or more affected descriptors having one or more overlapping subsets of locations of the network of locations and one or more non-overlapping subsets of locations of the network of locations, determining a forecast of allocated locations in each of the one or more affected descriptors; identifying, according to the forecast, at least a portion of allocated locations in the one or more overlapping subsets of locations that are displaceable resulting in a number of displaceable allocations, and determining, according to the number of displaceable allocations, a forecast of available unallocated locations with displacement. Other embodiments are disclosed.

A live image providing system according to an embodiment of the present disclosure provides a real-time live image of each specific location. The live image providing system includes a plurality of image provider terminals transmitting real-time image data containing an external view of a specific location and location information on the specific location, a live image service user terminal requesting for the real-time image data on the specific location, and a platform server transmitting to the live image service user terminal real-time image data of an image provider terminal having location information corresponding to the specific location when receiving a message requesting for the real-time image data on the specific location from the live image service user terminal.

In general, embodiments of the present invention provide systems, methods and computer readable media for ranking promotions selected for recommendation to consumers based on predictions of promotion performance and consumer behavior. In embodiments, a set of promotions to be recommended to a consumer can be sorted and/or ranked according to respective relevance scores representing a probability that the consumer's behavior in response to the promotion will match a ranking target. In embodiments, calculating scores is based on a relevance model (a predictive function) derived from one or more contextual data sources representing attributes of promotions and consumer behavior. In embodiments, an absolute relevance score represents an absolute prediction of a ranking target variable. In embodiments, absolute relevance may be used to determine personalized local merchant discovery frontiers; featured result set thresholding for impressions; and/or promotion notification triggers. In embodiments, predictive models based on gross revenue may be optimized using promotion category-dependent price boosting.

A system and method for automatically distributing value received from the client for access to the media content is disclosed. The method comprises: defining a blockchain network, accepting a request for a media content transaction from the client, determining if the requested media content transaction complies with the value distribution agreement, and executing the requested media content transaction of the smart contract according to the determined compliance of the transaction with the value distribution agreement.

A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.