Abstract: Systems and methods describe providing alternate redemption options. One aspect involves receiving an order, analyzing consumer information using a redemption options algorithm to obtain redemption options including an alternate redemption option, providing an initial gift notification to a recipient device based on the gift order, the initial gift notification including the alternate redemption option, receiving an alternate redemption request, transmitting an alternate redemption information request, receiving alternate redemption information, adding alternate redemption information to the historical consumer information to obtain updated historical consumer information, training the redemption options algorithm using the updated historical consumer information to obtain an updated redemption options algorithm, and performing an alternate redemption action set using the alternate redemption information.

Abstract: Systems and methods are disclosed for creating, editing, sharing and distributing high-quality, media-rich web-based communications. The communications are created in a layered fashion that integrates user-selected text, colors, background patterns, images, sound, music, video, or other media. The systems and methods are used to generate, edit, broadcast, and track electronic presentations, brochures, advertisements (such as banner advertisements on highly trafficked media websites), announcements, and interactive web pages, without the need for the user to understand complex programming languages.

Abstract: A computer-implemented method for allocation-free control of online campaigns for distributing online content includes receiving a daily content distribution spending budget and one or more response functions, calculating one or more plant gain estimates based on the one or more response functions, calculating a marginal content distribution spending budget based on the daily content distribution spending budget, generating one or more control signals based on the calculated marginal budget and the calculated one or more plant gain estimates, generating a price control signal based on the generated one or more control signals, and calculating a bid for one or more impressions based on the price control signal.

Abstract: In one embodiment, a system for predicting imputed revenue of inquiries includes: one or more computing devices comprising computer hardware and configured to: obtain data relating to a plurality of inquiries. Each of the plurality of inquiries is (a) indicative of a request for information about one or more programs providing a service, and (b) received from a particular channel of a plurality of online channels for presenting the one or more programs. The plurality of inquiries are represented using one or more data structures in one or more data sources. The computing devices are further configured to determine a model for predicting enrollment rates of the plurality of inquiries based at least in part on historical enrollment data of at least one program of the one or more programs, the model specifying a predicted enrollment rate value for one or more characteristics associated with the plurality of inquiries.

Abstract: A system and a method allow for the provision of an incentive between different applications. A server stores information including, in association, a user identifier, a first identifier, and a second identifier received from a client terminal, and when receiving an incentive request, causes an application server to provide an incentive to the user pertaining to the first identifier corresponding to the second identifier based on the information.

Abstract: A device may receive, from a client device of a customer, item data identifying a price of an item and customer data identifying the customer, where the item data may be received by a transaction card from a price tag of the item. The device may receive price data identifying prices associated with multiple items and other data identifying locations, availabilities, and terms of the multiple items, and may process the item data, the price data, and the other data, with a machine learning model, to identify an optimal price for the item. The device may provide, to the client device, data identifying the optimal price and data identifying a merchant associated with the optimal price, and may receive transaction data identifying the item, the optimal price, and the merchant when the customer purchases the item. The device may perform actions based on the transaction data.

Abstract: Provided is a method including determining a combined plurality of accounts, determining, for each account of the combined plurality of accounts, aggregate transaction data associated with a plurality of transactions involving the account; determining a first cohort level group including a group of exposed accounts and controls accounts; determining a first segment level group of accounts from the first cohort level group of accounts; generating a prediction model based on a plurality of control accounts that are included in the first segment level group of accounts; identifying a first exposed account of a plurality of exposed accounts; determining a first control account of the plurality of control accounts that corresponds to a first exposed account using the prediction model; and outputting a report comprising data associated with the first control account that corresponds to the first exposed account. Systems and computer program products are also provided.

Abstract: Systems and methods are disclosed for creating, editing, sharing and distributing high-quality, media-rich web-based communications. The communications are created in a layered fashion that integrates user-selected text, colors, background patterns, images, sound, music, video, or other media. The systems and methods are used to generate, edit, broadcast, and track electronic presentations, brochures, advertisements (such as banner advertisements on highly trafficked media websites), announcements, and interactive web pages, without the need for the user to understand complex programming languages.

Abstract: Systems and methods are disclosed for creating, editing, sharing and distributing high-quality, media-rich web-based communications. The communications are created in a layered fashion that integrates user-selected text, colors, background patterns, images, sound, music, video, or other media. The systems and methods are used to generate, edit, broadcast, and track electronic presentations, brochures, advertisements (such as banner advertisements on highly trafficked media websites), announcements, and interactive web pages, without the need for the user to understand complex programming languages.

Abstract: Systems and methods are provided for determining tax classification of benefits offered to subscribers of a membership platform.

Abstract: At least one aspect is directed to determining an estimate of an intersection of user identifiers in a first set of user identifiers and a second set of user identifiers. The first and second sets of user identifiers can be populated with user identifiers that have interacted with the same content item or content item campaign. Estimates of intersections of the first and the second sets can be determined based on a binomial vector approach, a vector of counts approach, or a hybrid approach. The binomial vector approach generates vectors based on k hashes of each user identifier in the first set and summing the vectors to generate a first vector. The intersection can be determined based on a dot product of the first vector and a second vector similarly generated from the second set of user identifiers.

Abstract: Embodiments provide a computer-implemented method for rendering advertisements in a Mixed Reality space, including: profiling a plurality of users in a smart home sharing the MR space; building a social network graph between the plurality of users; building a user embedding matrix based on the social network graph; recommending a plurality of first advertisements for one or more target users; building a joint embedding matrix across the plurality of users and the plurality of first advertisements; identifying a particular position and a particular time period for the one or more target user, while the remaining users are not viewing the particular position during the particular time period; selecting one or more advertisements from the plurality of first advertisements based on the joint embedding matrix; and rendering the one or more advertisements to the one or more target users at the particular position during the particular time period.

Abstract: Systems and methods are disclosed for creating, editing, sharing and distributing high-quality, media-rich web-based communications. The communications are created in a layered fashion that integrates user-selected text, colors, background patterns, images, sound, music, video, or other media. The systems and methods are used to generate, edit, broadcast, and track electronic presentations, brochures, advertisements (such as banner advertisements on highly trafficked media websites), announcements, and interactive web pages, without the need for the user to understand complex programming languages.

Abstract: A system and method are disclosed to promote good driving among users. A user-customizable good driving (GD) wish list may be created, populated, modified, and/or used to promote good driving. The GD wish list may be used in conjunction with a vehicle telematics unit (VTU) to monitor, process, detect, and/or record good driving events, and communicate and/or generate positive feedback for the user. In addition to positive feedback, good driving (GD) points may be accumulated based on driving behavior. The accumulated GD points may be used in conjunction with a product and/or service offering, such as by an insurance company. Furthermore, in some examples, the system encourages users to promote good driving behavior by pledging themselves to a challenging GD wish list that will earn them more GD points and the associated benefits.

Abstract: A feature extraction unit extracts, from an advertising request to view an online advertisement, client information on a client as a transmission source of the advertising request and publisher information on a website of a publisher who displays advertising, and calculates a predetermined feature amount using the client information and the publisher information with respect to a plurality of advertising requests including at least a benign advertising request, and a determiner generation unit generates a determiner that determines whether an advertising request is malignant or not by using the calculated feature amount.

Abstract: Systems/techniques for facilitating proxy objects for tracking processing of electronic coupon codes are provided. In various embodiments, a system can determine that a browser is performing a checkout on a frontend website. In various aspects, the system can cause the frontend website to instruct the web browser to transmit a validation request to a backend server, wherein the validation request identifies a coupon code and requests that the backend server determine whether the coupon code is applicable to the checkout. In various instances, the system can cause the web browser to append a proxy object to the validation request, wherein the proxy object fetches, during execution of the validation request by the backend server, an execution status of the validation request. In various cases, the system can receive, from the proxy object, the execution status and can initiate one or more electronic actions based on the execution status.

Abstract: Systems and methods are disclosed for creating, editing, sharing and distributing high-quality, media-rich web-based communications. The communications are created in a layered fashion that integrates user-selected text, colors, background patterns, images, sound, music, video, or other media. The systems and methods are used to generate, edit, broadcast, and track electronic presentations, brochures, advertisements (such as banner advertisements on highly trafficked media websites), announcements, and interactive web pages, without the need for the user to understand complex programming languages.

Abstract: Methods and systems for transferring information, comprising: transmitting, by a first computing device of the first computing system, a first network function request to a decentralized network, the first network function request including first information; and transmitting, by a second computing device of the second computing system, a second network function request to the decentralized network, the second network function request including second information.

Abstract: A method, apparatus, and computer program product are disclosed to identify editorial content that is compatible with a promotion. The method includes receiving a selection of a promotion structure. The method further includes identifying editorial content that is compatible with the selected promotion structure. The promotion structure may optionally be selected from a list of promotion structures relating to a deal context. The method further includes transmitting the compatible editorial content to a user. Optionally, the method may include receiving a selection from the compatible editorial content, and transmitting a claim confirmation to a promotion and marketing service. A corresponding apparatus and computer program product are also provided.

Abstract: Aspects of the disclosure are directed to receiving numerical product data indicative of a product, the numerical product data comprising numerical values indicative of at least one of chemical composition, radius, tensile strength, a diameter, position and yield strength, and storing the numerical product data in a non-volatile memory device. The numerical product data is processed in a processor to create a plurality of explanatory variables indicative of the numerical product data. Multivariate data analysis is performed on the explanatory variables indicative of the numerical product data, where the multivariate data analysis includes an iterative cluster based outlier detection procedure. A confidence indicator value indicative of the likelihood that the numerical product data includes at least one fabricated or false data entry is generated.