Abstract: Described are a system and method for dynamic promotional offers during user interaction at an automated teller machine (ATM). The method includes receiving, at the ATM, a transaction request based on an account identifier associated with an account of a user. The method also includes determining, based on the account identifier, that the account of the user was issued by an issuer that is different than an acquirer associated with the ATM. The method further includes, in response to determining that the account was issued by the issuer, generating, with at least one processor, an authorization request message based on the transaction request and the account identifier. The method further includes receiving an authorization response message comprising embedded user profile data and generating, on a display of the ATM, at least one offer based on the embedded user profile data.

Abstract: Disclosed is a system and a method for verifying a user using reality applications. The system includes a database for storing plurality of modules, a server coupled to the database for processing the stored plurality of modules, a reality glasses having a camera to capture movements of the user, and a reality display coupled to the server to overlay virtual objects and the processed plurality of modules onto a field of view of the user, wherein the plurality of modules authenticates the user to access at least one of the virtual objects. The plurality of modules includes a biometric module performs a first level verification by performing biometric scans on the user, using the reality camera, a signature module performs a second level verification by verifying signature of the user drawn in air captured by the reality camera, and a signature motion flow module performs a third level verification by verifying flow of the user's signature captured by the reality camera.

Abstract: An adaptive bidding system for networked advertising. A bid request is received from an exchange over a network. Each bid request represents the opportunity to bid on an advertising opportunity. A processing time limit is determined based at least in part on a network latency measurement and an exchange reported timeout. The execution of one or more tasks is initiated by the adaptive bidding system. A response is determined from one or more results which are available before the processing time limit expires. The execution of any tasks that have not completed execution before the processing time limit expires are terminated. The response is provided to the exchange.

Abstract: Systems and methods are provided herein for enhanced waste item organization. In some embodiments, an example method may include receiving, by a sensor of a device, image data associated with a first waste item. The example method may also include determining, based on the image data associated with the first waste item, a product characteristic of the first waste item. The example method may also include determining, based on the product characteristic of the first waste item, that the first waste item is associated with a first waste receptacle of a plurality of waste receptacles. The example method may also include presenting an indication of the first waste receptacle to the user.

Abstract: The present invention relates to a mobile advertisement providing system, and more specifically to technology for a mobile advertisement providing system which includes an information display button and displays content and advertisement information provided onto a current screen in response to the manipulation of the information display button.

Abstract: Systems and methods are described herein for allowing a user to grant or deny a third party access to different portions of the user's profile characteristics. Control circuitry may calculate an optimal promotion offer from a third party to a user based on a first layer of the user's profile characteristics matching a target-audience profile of the third party. Control circuitry may then generate for display the optimal promotion offer to the user. In response to receiving a selection of the optimal promotion offer from the user, control circuitry may receive further selections, from the user, of a subset of the user's profile characteristics to share with the third party, and then generate for display, to the user, an actual promotion offer based on the selected subset of profile characteristics.

Abstract: Systems and methods for providing purchase driven financial statements include an account processor that receives account data associated with one or more financial accounts of the account holder and advertising data via a network; one or more databases that stores at least the received account data and the received advertising data; and a statement processor that creates a financial statement based at least in part on the account data and the advertising data, provides the financial statement to an account holder, and tracks the account holder's future account data based on the provided advertising data.

Abstract: The embodiments set forth techniques for managing advertisement attributions. A first technique can be implemented by an “app store” application, and include the steps of (1) receiving, from a first user application, a request to view a second user application, where the request includes a set of digitally-signed parameters that are specific to an advertising campaign (provided by an advertisement network) for the second user application that is presented by the first user application. In turn, and in response to identifying that the second user application satisfies at least one criterion, the app store application provides the set of digitally-signed parameters to an advertisement metrics manager that: (i) verifies the set of digitally-signed parameters, and (ii) indicates, to the advertisement network, that business logic should be carried out in association with the first user application and the second user application. A second technique for managing advertisement attributions is also disclosed.

Abstract: The demand-side platform (DSP) is a technological ingredient that fits into the larger real-time-bidding (RTB) ecosystem. DSPs enable advertisers to purchase ad impressions from a wide range of ad slots, generally via a second-price auction mechanism. In this aspect, predicting the auction winning price notably enhances the decision for placing the right bid value to win the auction and helps with the advertiser's campaign planning and traffic reallocation between campaigns. This is a difficult task because the observed winning price distribution is biased due to censorship; the DSP only observes the win price in the case of winning the auction. For losing bids, the win price remains censored. In this invention, we generalize the winning price model to incorporate a gradient boosting framework adapted to learn from both observed and censored data. This yields a boost in predictive performance in comparison to classic linear censored regression.

Abstract: In some aspects, the techniques described herein relate to a method including: providing a host application that provides a native service of a host organization to an end user of the application, and wherein the application integrates and provides an augmented reality service of a third party to the end user of the application; determining, by the data center of the host organization, a location-relevant incentive offer based on location telemetry data; sending the location-relevant incentive offer to a data center of the third party; monitoring, by the data center of the third party, the physical location of the end user; sending to the augmented reality service, the location-relevant incentive offer; and presenting, by the augmented reality service and to the end user via the application, the location-relevant incentive offer when the end user is within a predefined proximity to a vendor associated with the location-relevant incentive offer.

Abstract: Protected audience selection system. Media consumption histories of browsers which have converted are received at a modeling system where targeting of browsers is prohibited. A model is built by determining a frequency of each respective media consumption event among the histories and comparing each determined frequency of a respective media consumption event to a frequency of the respective media consumption event among a population of browsers without the conversion event. The model is sent to a targeting system which excludes conversion events. A description of the conversion event is received at the targeting system. A history of a targetable browser is received at the targeting system. The model is applied to the history of the targetable browser at the targeting system, where conversion events have been excluded from the history. Advertising content is sent to the targetable browser according to a result of applying the model.

Abstract: A client system presents, within an execution environment of an application, a third-party media stream distinct from the application, received from a remote host server via a network. The client system detects interaction events during presentation of the third-party media stream, and transmits descriptions of the detected interaction events to the remote host server. The client system updates a data set with data corresponding to detected interaction events and generates, by application of an interaction heuristic to the data set, an interaction score indicative of a likelihood of engagement with the third-party media stream. The interaction score is provided to the application, which may then provide a reward based on the likelihood of engagement. In some implementations, the interaction heuristic is based on a number or frequency of interaction events, e.g., button utilization, screen taps, device motion, or screen changes detected during presentation of the received third-party media stream.

Abstract: A content compliance system uses machine learning to generate objective verification that content complies with brand criteria. The content compliance system may force the company to select specific brand criteria listed on a user interface. The selected brand criteria are then readily displayed to the creative agency. The content compliance system then compares the selected brand criteria with content generated by the creative agency. The content compliance system uses machine learning algorithms to generate a compliance score that provides a real-time objective indication of the compliance of the creative content with the selected brand criteria. The creative agency can then modify the creative content and receive a real-time updated compliance score.

Abstract: An automated method for managing, delivering and tracking dynamic content. The method includes processing customer data related to one or more customers, managing and selecting textual and graphical dynamic content to specify delivery to targeted subsets of customers as a function of business rules, and delivering that content to targeted subsets of customers via one or more appropriate customer touchpoints. A portion or location within the customer touchpoint is identified as a dynamic destination area for receipt of the selected content, which then contains that content qualified for delivery to the targeted subset of customers via the customer touchpoint dynamic destination area through execution of targeting business rules. The qualification, delivery and responses to the delivered content are tracked for each customer, across each touchpoint, and targeting rules are refined and updated to encompass past qualification, delivery, and responses.

Abstract: This disclosure describes systems and methods for establishing promotions for sellers and promoting images of items to users on behalf of sellers. A management service receives a source location identifier from a seller, processes images stored in an image data store to determine images that include the source location identifier in the corresponding image information and includes those images in a promotion that is established for the seller. Likewise, the management service may determine users that have previously interacted with the images and include those users in the promotion campaign.

Abstract: An audience proposal creator determines a target cost per thousand (CPM) baseline and a demographics CPM baseline for a deal offering audience spots, determines deal constraints based on a target CPM reduction goal, a demographics CPM cap, and the established parameters, and generates rates by selling title for each selling title-weeks for a duration of pending deal, and for each network of a plurality of networks based on the constraints. Target and demo audience rating estimates are acquired based on the target and demo applicable to the advertiser for the plurality of networks, and a distribution of the audience spots generated across the plurality of selling title-weeks, and networks based on the target audience rating estimates, a budget for the pending deal, the generated rates, and available inventory per selling title-weeks, and a proposal generated based on the distribution. An audience processor schedules audience spots across one or more networks for selling title-weeks based on the distribution.

Abstract: Techniques are described for determining locations of interest based on user visits. In some situations, the techniques include obtaining information about actual locations of users at various times, and automatically analyzing the information to determine particular locations in a geographic area that are of interest, such as for frequent destinations visited by users. After determining a particular location of interest, it may be represented by generating a corresponding location model to describe the geographic subarea or other location point(s) covered by the determined location of interest, and one or more points of interest (e.g., businesses, parks, schools, landmarks, etc.) may be identified that are located at or otherwise correspond to the determined location of interest. In addition, a determined location of interest may be further used in various ways, including to identify later user visits to that location (e.g., to a point of interest identified for the location).

Abstract: A device receives vehicle data associated with vehicles located at a vehicle dealership lot, and receives, from a user device, profile data identifying a user of the user device and data identifying a particular vehicle of the vehicles. The device compares the data identifying the particular vehicle and the vehicle data to determine particular vehicle data associated with the particular vehicle, and processes the particular vehicle data and the profile data of the user, with a first model, to determine purchase options for the particular vehicle and the user. The device provides, to the user device, the particular vehicle data and the purchase options for the particular vehicle to cause the user device to display the particular vehicle data and the purchase options for the particular vehicle.

Abstract: Various systems and methods for providing a tool to entities that determines the optimal usage of data items are disclosed. For example, the tool can generate a model that uses various characteristics to predict how likely it is that a viewer will watch (or listen to) the media program being promoted. The model can then determine an increase in revenue that would result from the assignment of a media promo using the predicted likelihood and subtracting a known opportunity cost from this determined revenue increase to determine a net revenue value. The model can repeat this determination for any number of viewers and aggregate the determined net revenue values to generate an aggregated net revenue value. The tool may include a user interface in which a content provider can adjust various variables to see how adjusting one or more variables affects the aggregated net revenue value.

Abstract: An electronic payment card processing system and method includes a host computing device having at least one processor in communication with a memory device and a multi-party payment processing network for processing payment-by-card transactions. The host computing device is configured to identify a first payment-by-card transaction between an enrolled cardholder and a first enrolled merchant that is processed over the multi-party payment processing network, identify at least one affiliated merchant of the first enrolled merchant; and send an affiliate incentive offer for the at least one affiliated merchant to the enrolled cardholder.