Abstract:
An apparatus for generating personal profile scores can include a processor that can receive, from different sensors, different types of sensor measurements for different individuals. The processor can calculate individual sensor scores corresponding to different types of sensor measurements. The processor can calculate a regional average score for different types of sensor measurements based on the sensor measurements from a subset of sensors associated with individuals located in a particular geographic region. The processor can determine an adjusted sensor score for each of different types of sensor measurements, wherein the adjusted sensor score for each type of sensor measurement comprises an individual sensor score normalized by a corresponding regional average score for that corresponding type of sensor measurement. The processor can determine an adjusted personal profile score by compositing the adjusted sensor scores for each of the different types of sensor measurements.
Abstract:
A computer-implemented method for processing transaction messages using a social network platform between a requestor and a responder is provided. The method includes receiving a social network message including an item request and a predefined hashtagged identifier. The method further includes transmitting the social network message to one or more registered providers. The method also includes receiving a confirmation from a first registered provider of the one or more registered providers that the first registered provider will provide the requested item. The method further includes transmitting payment information for the item request to a payment processor. The method also includes transmitting a notification to the first registered provider to provide the requested item.
Abstract:
A method for selecting audience messages for an event based on audience analytics. A content management computing device determines a set of geographical regions viewing rights for an event were purchased, and in what quantity based on a first set of transaction data. The content management computing then receives a second set of transaction data associated with a set of consumers and generates one or more microsegment data sets based on the second set of transaction data. The microsegments are subdivided based on at least the set of geographical regions. The content management computing device then generates an audience profile based on the microsegment data sets. The content management computing device then receives a plurality of audience messages for the event, and selects one or more audience messages from the plurality of audience messages based on the audience profile.
Abstract:
Systems and methods for generating aggregated merchant analytics for a sector are provided. The system includes a merchant analytics (MA) computing device in communication with a user computing device. The MA computing device defines a plurality of sectors of a geographic region and receiving transaction data including at least one online transaction associated with a merchant. The MA computing device generates a transaction location identifier for each of online transaction to indicate a location associated with a user device operated by a cardholder associated with the online transaction and links the online transaction to one sector based on the transaction location identifier. The MA computing device generates aggregated merchant analytics for each sector based on the transaction data associated with the online transactions located in the sector and displays the aggregated merchant analytics on the user computing device for analysis.
Abstract:
A method for generating and providing aggregated merchant analytics for a sector location is provided. The method includes defining a plurality of sectors of a geographic region and receiving transaction data for financial transactions occurring within a period of time, the transaction data associated with a plurality of merchants. The plurality of merchants are located in the geographic region. The method also includes identifying, for each merchant, one sector of the plurality of sectors in which the merchant is located. The method further includes generating aggregated merchant analytics for each sector based on the transaction data associated with all merchants located in the sector, wherein the aggregated merchant analytics represent a ranking of each sector relative to all other sectors, and displaying on a user interface of the user computing device the aggregated merchant analytics, wherein the aggregated merchant analytics are graphically represented on a map of the defined sectors.
Abstract:
A mobile computing device configured for enabling distribution of digital pictures is provided. Additionally, a method for enabling distribution of digital pictures and a computer-readable storage medium having computer-executable instructions embodied thereon for enabling distribution of digital pictures are provided.
Abstract:
Systems and methods are provided for managing user identities in networks. One exemplary method includes receiving, at a communication device, an API call request for a credential from a relying party. The communication device includes an application that incorporates an SDK. After receiving the API call request for the credential, the communication device authenticates a user associated with the communication device and identified in the API call request. After authentication of the user the communication device generates, via the SDK, a private-public key pair and stores the private key in memory. The communication device compiles, via the SDK, a credential packet include the public key and identity data associated with the user and transmits the credential packet to the relying party, whereby the relying party is registered to the SDK to request assertions of an identity of the user.
Abstract:
Systems and methods for generating aggregated merchant analytics for a sector are provided. The system includes a merchant analytics (MA) computing device in communication with a user computing device. The MA computing device defines a plurality of sectors of a geographic region and receiving transaction data including at least one online transaction associated with a merchant. The MA computing device generates a transaction location identifier for each of online transaction to indicate a location associated with a user device operated by a cardholder associated with the online transaction and links the online transaction to one sector based on the transaction location identifier. The MA computing device generates aggregated merchant analytics for each sector based on the transaction data associated with the online transactions located in the sector and displays the aggregated merchant analytics on the user computing device for analysis.
Abstract:
A method for identifying a dynamic checkout button with a contextual offer includes: storing, a plurality of offer data entries, each including display data, a wallet identifier, and a merchant identifier; receiving a page request from an external server, the page request including a specific merchant identifier and a device identifier; receiving a data file from a computing device corresponding to the device identifier, the data file including a specific wallet identifier; identifying a specific offer data entry where the included wallet identifier corresponds to the specific wallet identifier and where the included merchant identifier corresponds to the specific merchant identifier; identifying an image file associated with the specific wallet identifier, wherein the image file includes at least the display data included in the specific offer data entry; and transmitting the identified image file to the external server in response to the page request.
Abstract:
A method for validating tax data of a taxable entity comprises: receiving at a computer processor, payment card transaction records including at least one of a customer identifier, a merchant identifier, and transaction purchase amounts corresponding to entity purchase transactions over a given time period; analyzing the payment card transaction records data to generate one or more spending profiles according to one or more categories of merchants; correlating the entity spending profiles with one or more other aggregated spending profiles representative of historical spending by additional entities whose reported income is within a given range of the entity reported income; comparing the degree of correlation with a threshold and generating a signal indicative of a request for secondary review of a tax filing of the entity when the degree of correlation is below the threshold; and otherwise generating a signal indicative of a validated tax filing of the entity.