Abstract: A method includes receiving, by a warehouse server, flash sale data file from a retail-type server. The method further includes storing, by the warehouse server, the flash sale data file in a database that functions as a virtual warehouse of flash sales. The method further includes interpreting, by the warehouse server, the information of the flash sale data file to determine flash sale parameters. The method further includes determining, by the warehouse server, whether a computing device has customer-device data that corresponds to the flash sale parameters. The method further includes, when the computing device has the customer-device data that corresponds to the flash sale parameters, generating, by the warehouse server, a customer specific coupon regarding the flash sale. The method further includes transmitting, by the warehouse server, the customer specific coupon to the computing device.

Abstract: A method includes receiving a request regarding an exchange item that is associated with a computing device. The method further includes generating first dynamic exchange item information based on static exchange item information. The method further includes generating a first verification code based on the first dynamic exchange item information and the request. The method further includes sending the first verification code to the computing device. The method further includes receiving a computer ID and a reply code. The method further includes determining whether the computer ID matches the static owner ID. When the computer ID matches the static owner ID and the reply code corresponds to the first verification code, sending the first dynamic exchange item information to the computing device. When the computer ID does not match the static owner ID or the code does not match the first verification code, deleting the first dynamic exchange item information.

Abstract: A method includes receiving a request from a computing device requesting that a digital wallet rendered by a digital wallet application executed on the computing device be recognized and accepted within a secure and trusted data communication system for purposes of financial transactions using a first cryptocurrency. The method further includes verifying that the first cryptocurrency is a valid form of cryptocurrency in accordance with a validation protocol. When the first cryptocurrency is valid, the method further includes establishing a per unit value of the first cryptocurrency based on a per unit value of a known and trusted cryptocurrency of the system, obtaining a set of units of collateral cryptocurrency for a plurality of units of first cryptocurrency based on the established per unit value of the first cryptocurrency, and storing the set of units of collateral cryptocurrency in a secure stake pool for transactions utilizing the first cryptocurrency.

Abstract: A method for execution by a computing device of a recommendation system includes receiving, from a user computing device of the recommendation system, a selection of one or more images from one or more selectable image groups, where the user computing device is associated with a user profile. The method continues by generating, by the computing device, a personal preference profile for the user profile based upon the selection of the one or more images. The method continues by determining, by the computing device, to correlate one or more databases of items based on the personal preference profile for the user profile. The method continues by generating, by the computing device, a representation of one or more correlated items of the correlated one or more database of items for displaying on a display of the user computing device.

Abstract: A method includes storing, by a secure data conveyance device, a certified data object for a user computing device. The method further includes receiving a request from the user computing device that at least a portion of the certified data object be conveyed to a target computing entity. When authenticated, the method further includes data translating the at least a portion from a first data representation into a universal data representation, sending the universal data representation to a trusted data securing device, and data translating the universal data representation into a specific data representation. The method further includes sending the specific data representation to the secure data conveyance device, where the secure data conveyance device adds an expiration time frame and forwards it to user computing device. The method further includes conveying, by the user computing device, the specific data representation with the expiration time frame to target computing entity.

Abstract: A user-centric computer-implemented method and system for managing inputs and creating, modifying, importing, and sharing one or more user lifestyle preference profiles as input into a relevance assessment engine to determine a user's product or service preferences comprises a personalized recommendation software for assessing and aggregating lifestyle items via style dimension mapping of one or more computer-implemented algorithms to process image-associated metadata to create unique vector inputs, individualized lifestyle preference indices, and lifestyle preference outputs, associated with a plurality of correlated products, services and experiences. The recommendation system then directly matches each user to discrete relevant items without the need for management of historical data from other users.

Abstract: A method includes receiving a request regarding an exchange item that is associated with a computing device. The method further includes generating first dynamic exchange item information based on static exchange item information. The method further includes generating a first verification code based on the first dynamic exchange item information and the request. The method further includes sending the first verification code to the computing device. The method further includes receiving a computer ID and a reply code. The method further includes determining whether the computer ID matches the static owner ID. When the computer ID matches the static owner ID and the reply code corresponds to the first verification code, sending the first dynamic exchange item information to the computing device. When the computer ID does not match the static owner ID or the code does not match the first verification code, deleting the first dynamic exchange item information.

Abstract: A method includes a user device computing sending a use request regarding an exchange item to a merchant computing device. The method further includes the merchant computing device sending information representing the use request to a marketplace server. The method further includes the marketplace server identifying a user computing device that is associated with the exchange item. The method further includes the marketplace server generating a use verification code and sending it to the identified user computing device. When the user computing device is the identified user computing device, the method further includes the user computing device receiving the use verification code and sending to the merchant computing device. The method further includes the merchant computing device sending information representing the use verification code to the marketplace server.

Abstract: A method includes receiving, by a warehouse server, flash sale data file from a retail-type server. The method further includes storing, by the warehouse server, the flash sale data file in a database that functions as a virtual warehouse of flash sales. The method further includes interpreting, by the warehouse server, the information of the flash sale data file to determine flash sale parameters. The method further includes determining, by the warehouse server, whether a computing device has customer-device data that corresponds to the flash sale parameters. The method further includes, when the computing device has the customer-device data that corresponds to the flash sale parameters, generating, by the warehouse server, a customer specific coupon regarding the flash sale. The method further includes transmitting, by the warehouse server, the customer specific coupon to the computing device.

Abstract: A browser-based personalized recommendation system and method for lifestyle items comprising style dimension mapping, inputs, outputs, and a computer-algorithm is described. The system gathers information about a user's unique lifestyle preferences, which is then correlated to clothing and lifestyle items. The recommendation system uniquely and directly matches users to discrete items without the need for historic user data.

Abstract: A user-centric computer-implemented method and system for managing inputs and creating, modifying, importing, and sharing one or more user lifestyle preference profiles as input into a relevance assessment engine to determine a user's product or service preferences comprises a personalized recommendation software for assessing and aggregating lifestyle items via style dimension mapping of one or more computer-implemented algorithms to process image-associated metadata to create unique vector inputs, individualized lifestyle preference indices, and lifestyle preference outputs, associated with a plurality of correlated products, services and experiences. The recommendation system then directly matches each user to discrete relevant items without the need for management of historical data from other users.