Abstract: Techniques for tracking a progression of a therapeutic procedure that is performed by a patient are disclosed. A notification is received from a server computer system. This notification relates to a tracking process designed to monitor a progress of the patient in performing the therapeutic procedure. After receipt of the notification, a UI is displayed. This UI has a particular visual layout that is designed to facilitate the tracking process. In response to a particular field being selected within the UI, a secret key that de-identifies the patient is accessed. The accessed secret key and a specific image are then encrypted. As a consequence, encrypted data is generated. The encrypted data is then transmitted to the server computer system.

Abstract: Disclosed herein are systems and techniques for using a content delivery network to perform various functions within a digital advertising ecosystem, in ways that yield technological benefits such as improved security, efficiency, and speed (for example, reduction in publisher load times). As one specific example, a content delivery network can be used for the creation of electronic tokens for user identity protection between demand side platforms, supply side platforms, content creators (for example, advertisers), and publishers.

Abstract: One variation of a method for quantifying user engagement includes: serving a digital advertisement to a mobile device; recording a first proportion of pixels of the digital advertisement rendered on a display of the mobile device during a first sampling period; recording a second proportion of pixels of the digital advertisement rendered on the display of the mobile device during a second sampling period offset in time from the first sampling period; calculating a cumulative pixel exposure of the digital advertisement at the mobile device based on a combination of a first product of the first proportion of pixels and a duration of the first sampling period and a second product of the second proportion of pixels and a duration of the second sampling period; and storing the cumulative pixel exposure as an engagement metric for a user consuming the digital advertisement at the mobile device.

Abstract: A method, including receiving, from a consumer, a client device identification though an application running in a client device, is provided. The method includes matching the client device identification with a loyalty card for a retail store, identifying a shopping history for consumer, associated with the retail store, in a database, based on the loyalty card, and requesting, through the application, an information from consumer, based on the shopping history. The method further includes verifying the identity of consumer when at least a portion of the information matches the shopping history associated with the retail store, for consumer, and providing an offer to consumer, through the application running in the client device, of a product in the retail store. A system and a non-transitory, computer readable medium storing instructions to perform the above method are also provided.

Abstract: The disclosed is an event-triggered advertisement communication system for vehicles and vehicle dealerships. In some embodiments, an advertising communication system may be configured to provide an advertisement campaign to a user designed to respond to certain events the user experiences in real-time. In some embodiments, the inventory advertisement management system may be designed to: (1) track whether the device is located within a predetermined perimeter; (2) provide current inventory attribute status associated the device; and (3) send advertisement campaigns to the user depending on attribute and location perimeters.

Abstract: A computer system detects a request to process a transaction corresponding to a first user and a first merchant, wherein the first user is associated with a first user account of a plurality of user accounts associated with a transaction platform. In response to detecting the request to process the transaction, the computer system identifies that a second user account of the plurality of user accounts includes a first amount of rewards corresponding to the first merchant. The computer system determines an optimal transaction path for obtaining, from the second user account, at least a portion of the first amount of rewards. In response to determining the optimal transaction path, the computer system utilizes the optimal transaction path to obtain the at least the portion of the first amount of rewards, and processes the transaction by utilizing the at least the portion of the first amount of rewards.

Abstract: Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.

Abstract: In the world of digital advertising, optimally allocating an advertisement campaign within a fixed pre-defined budget for an advertising duration aimed at maximizing number of conversions is very important for an advertiser. Embodiments of present disclosure provides a robust and easily generalizable method of optimal allocation of advertisement campaign by formulating it as a constrained Markov Decision Process (MDP) defined by agent state comprising user state and advertiser state, action space comprising a plurality of ad campaigns, state transition routine and a cumulative reward model which rewards maximum total conversions in an advertising duration. The cumulative reward model is trained in conjunction with a deep Q-network for solving the MDP to optimally allocate advertisement campaign for an advertising duration within a constrained budget.

Abstract: Methods and systems for automatically determining an auction floor value for an ad insertion field of a user interface that presents digital content are disclosed.

Abstract: Participation by multiple users in an online game through client computing platforms associated with the users is facilitated. User accounts associated with the users indicate affiliations having a functional significance between users. Presentation of offers to sell virtual items are provided to users having a first affiliation and to users having a second affiliation. The virtual items associated with the offers are distributed to the users having a first affiliation upon an indication that a threshold number of users having the first affiliation have accepted the offer and are not distributed to users having a second affiliation upon an indication that a threshold number of users having the second affiliation have not accepted the offer.

Abstract: The present disclosure is directed to automatically receiving, modifying, sequencing, and displaying vehicle images for marketing to prospective buyers. A seller uploads images of a vehicle to the system, which system uses artificial intelligence and machine learning to classify the images, identify objects within the images, add backgrounds, banners, and hotspots, and generate metadata associating the results of the foregoing processes with the particular images. The system uses the stored metadata to sequence the images in a format predetermined by the seller and upload the sequenced images for display to a prospective buyer.

Abstract: A kiosk for providing footcare product recommendations comprises a base, a foot mat positioned in a recess in the base, a removable cover plate positioned over the recess for covering at least a portion of the foot mat, the cover plate comprising an opening leaving at least a portion of the foot mat uncovered, and one or more spacers located in the recess for positioning the foot mat in the recess.

Abstract: A computer-implemented method of generating a marketing offer for a user associated with a mobile device may include: receiving first data that includes offers for sale of a product; generating and transmitting a stream of the offers to the mobile device; adding a respective incentive to a corresponding offer in the stream, wherein: a magnitude of the respective incentive is incremented toward a corresponding maximum based on a quantity of users that have redeemed the corresponding offer; and the maximum for the respective incentive is determined based on a first machine learning model configured to optimize a net present value of offers, the first machine learning model being trained using historical data of engagement rates of users for offers with a variety of incentives; receiving historical user information associated with the user; and using a second machine learning model, selecting a particular offer from the stream and transmitting a notification to the mobile device, separate from the stream, that i

Abstract: An approach is provided for caching advertisements on a device according to soft limits. Caching of an advertisement is caused, at least in part at the device. A soft limit is determined to be associated with and advertisement. The soft limit specifies when to cache one or more other advertisements. Presentation of the advertisement, the other advertisements, or a combination thereof is caused, at least in part, based on validity information associated with the advertisement.

Abstract: Provided an information processor capable of proposing more useful items to a user. An information processor includes: a processor; and a memory. The memory holds: first information on a relationship between a first assistant and a first person to be assisted who is assisted by the first assistant; second information on a relationship between a second assistant and a second person to be assisted who is assisted by the second assistant; third information on an item purchase history of the first assistant and/or the first person to be assisted; and fourth information on an item purchase history of the second assistant and/or the second person to be assisted. The processor judges a similarity between the first information and the second information, and provides an advertisement based on the fourth information to the first assistant and/or the first person to be assisted if judging that a similarity is observed between the first information and the second information.

Abstract: Disclosed herein are a method and system that utilize a programmed content predictor to dynamically select electronic publishing content. In particular, the content predictor applies a selection model to select content for one or more selected webpages presented during an electronic transaction. The selection model utilizes a set of one or more machine learning models to select content based on calculated quality scores. The nature of the quality scores determined by the quality score model depend on the particular application. The predictor generates and populates a permutation quality table based on a set of selected content items and page variant, wherein the page variant defines locations of content positions within a webpage. The predictor then consumes the selection model to select a best permutation of content item-content position combinations to be returned for display on a webpage.

Abstract: 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.

Abstract: A method and system provide the ability to manage entities of a marketing domain model in a multi-state workflow. Multiple entities are acquired in a content hub. Each entity is a set of data that belongs together as one and includes properties that describe entity details. Relations are created between the multiple entities to give meaning to the marketing domain model. A solution graph is generated that represents all of the multiple entities (nodes) and relations (edges). Inside the solution graph, a state workflow can be created for each node. Nodes can be linked to a state and there are transitions between the states. Multiple non-linear state workflows can be orchestrated by an overall waterfall-based workflow (that is linear and time duration based. A graphical user interface enables management of and renders a representation of the multiple entities, the solution graph, and the workflows.

Abstract: Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.

Abstract: A system and method for providing real estate spatial analysis through a user interface which allows the user to visualize the analysis through maps. A businesses are identified within each of a number of incremental areas of an overall map area. Corresponding land use types are identified for the incremental areas. A predominant land use type is identified for each incremental area. A land use map is generated with colors the respective incremental area using a predetermined color assigned to the predominant land use type for the respective incremental area.