With an offer server computer system: receiving a first digital image file, a first mapping of product codes to audience segment identifiers, and a temporary price reduction (TPR) offer dataset; mapping a target identifier for an end user device of a consumer to an audience segment identifier; in response to determining, based on the audience segment identifier, that the TPR offer dataset has a product code and a retailer identifier that map to the audience segment identifier, and an effective date value that includes a current date value, and the retailer identifier corresponds to a retailer location within a specified distance of a then-current location of the end user computing device: creating and storing a digital offer dataset comprising both the first digital image file and a second digital image file that presents data elements of the TPR offer dataset; causing transmission of the dataset to the end user device.

An athlete name, image, and likeness (NIL) marketing and direct payment system is disclosed. The athlete NIL marketing and direct payment system supports a marketplace which enables people to send money to athletes for their name, image, likeness (NIL). The athlete NIL marketing and direct payment system supports ownership NFT tokens for the athlete's NIL on the blockchain as well as a sales and marketing platform that allows for direct payment from people to the athletes.

Systems and methods deliver advertisements to electronic billboards, additionally deliver social media content relevant to the advertisements, control content of the electronic billboards, including through social media interactions, and deliver interactive applications to the electronic billboards and control the interactive applications. An advertisement is delivered to an electronic billboard for display, and social media content relevant to the advertisement is also delivered to the electronic billboard for display in real time. The social media content is used to update the display of the electronic billboard in temporal proximity to a time of posting of social media content. Content and applications are received at the electronic billboard by push, and may be removed from storage of electronic billboard after display to make storage room available for additional interactive applications and to ensure that updated content is always displayed.

Disclosed are methods, systems, and non-transitory computer-readable medium for targeting bid and position for a keyword. For instance, the method may include obtaining information about the keyword, the information about the keyword including observations of value with respect to position for the keyword. The method may further include applying a Gaussian Process Model on the observations to obtain a prediction function and associated uncertainties, the prediction function and the associated uncertainties relating positions to expected values; applying a Thompson sampling reinforcement learning model on the expected values and the positions to obtain a target position; and applying a bid model to the target position to obtain bid information for the keyword. The method may also include transmitting a bid message to a search engine, the bid message including the bid information.

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for delivering content. A method includes: identifying a webview; providing a script for execution when the webview is initiated, the script causing a device associated with the webview to retrieve a unique identifier associated with the device, encode the unique identifier, construct a URL that includes an advertising system domain and the encoded unique identifier, and pass the encoded unique identifier to the advertising system; passing a cookie for the advertising domain back to the webview for inclusion in the cookie space of the webview; storing information related to interactions of a user of the device when accessing content through different browsers or applications so as to unify the cookie spaces of the different browsers; identifying a request for content as being associated with the device; and using the information to determine content for delivery.

Disclosed herein is a web user experience improvement for digital magazines. A digital magazine viewing platform is integrated with a digital magazine publishing platform including features that leverage the integration including user interface arrangement based on viewing habits and ripped content that is insertable into draft digital magazine documents. In some embodiments, a machine learning model categorizes magazine styles and present publishing features based on those magazines viewed or subscribed to by a given user.

One or more computing devices, systems, and/or methods are provided. Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of minimum bid values to win associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, unshaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using a loss function and/or the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine a shaded bid value for submission based upon one or more first feature parameters, of the feature parameters, associated with the second set of features.

A data processing method includes: obtaining an advertisement state of each candidate advertisement corresponding to a current exposure request and an overall state of an advertising platform in response to the current exposure request; determining, by a classification network in a scoring model, probability of each candidate advertisement belonging to different reference advertisement types; determining, by a scoring network in the scoring model, a competition score of the candidate advertisement for the current exposure request according to the advertisement state corresponding to the candidate advertisement and the overall state based on the probability of the candidate advertisement belonging to different reference advertisement types, the scoring model including multiple scoring networks corresponding to different reference advertisement types; and determining a target advertisement exposed by the current exposure request according to the competition score of each candidate advertisement for the current exposure request.

Systems and methods described herein may generate campaigns and efficiently calculate bids for placement of campaign data into Internet data. Embodiments may calculate context scores for campaign data based on campaign terms and beacon terms. The context scores may be used to identify Internet content that has a high page score. If the page score of particular Internet content exceeds a predetermined threshold, the system may place a bid for a campaign based on disclosed algorithms taking as inputs performance scores, context scores, page scores, campaign budgets, and other parameters. The systems therefore are capable of quickly and effectively calculating optimal bids to place for a particular campaign given parameters disclosed herein.

An advertisement distribution system for distributing an advertisement to at least one terminal apparatus installed in the store, includes: a management server configured to manage a plurality of advertisements; and a store server configured to select, based on a distribution condition set for each of the plurality of advertisements, an advertisement to be distributed and a terminal apparatus to be a distribution destination of the advertisement, and distribute the advertisement to the terminal apparatus. The terminal apparatus displays the advertisement distributed from the store server, and outputs information on a display record, which is a record of actual display on the terminal apparatus, of the advertisement. The management server manages, based on the information outputted from the terminal apparatus, the display record of each of advertisements that have been actually displayed in the store.