Abstract: Embodiments described herein provide a client system for facilitating enhanced offline payment. During operation, the system obtains a location indicator, which indicates the location of a service, from a charging system. The system then generates an offline code that allows access to the service and corresponds to the location indicator. The offline code can be readable by the charging system, and the client system and the charging system can both be offline. Subsequently, the system encodes the historical data associated with the service in a field of the offline code and sends a message comprising the offline code to the charging system.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Abstract: Embodiments described herein provide a client system for facilitating enhanced offline payment. During operation, the system obtains a location indicator, which indicates the location of a service, from a charging system. The system then generates an offline code that allows access to the service and corresponds to the location indicator. The offline code can be readable by the charging system, and the client system and the charging system can both be offline. Subsequently, the system encodes the historical data associated with the service in a field of the offline code and sends a message comprising the offline code to the charging system.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Abstract: Implementations of the present specification disclose fare payment method, apparatus, and device. In the implementations of the present specification, an application can be pre-installed on a terminal device that supports HCE. When a user takes the ride, the user can move the terminal device to a vicinity of a collection device of a public transportation system. The collection device can send an HCE-based routing instruction to the terminal device, so that an operating system of the terminal device sends the routing instruction to the application based on an application identifier of the application included in the routing instruction, and then the application establishes an NFC connection with the collection device in response to the routing instruction.

Abstract: An end-user device displays an image at a first size. The end-user device obtains a distance between the end-user device and an object. The end-user device includes a predetermined mapping relationship between distance and size. The end-user device determines a second size based on the distance and the predetermined mapping relationship. The end-user device displays the image at the second size.

Abstract: An end-user device displays an image at a first size. The end-user device obtains a distance between the end-user device and an object. The end-user device includes a predetermined mapping relationship between distance and size. The end-user device determines a second size based on the distance and the predetermined mapping relationship. The end-user device displays the image at the second size.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data synchronization. One of the methods includes that a first terminal device establishes a data channel to a specified carrier through near field communication. The first terminal device obtains an account identifier of a first account and first streaming data corresponding to the first account through the data channel, where the account identifier of the first account and the first streaming data are stored in the specified carrier. The first terminal device determines second streaming data corresponding to a second account associated with the first account, and performs data synchronization between the first account and the second account based on the first streaming data and the second streaming data.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Abstract: An end-user device displays an image at a first size. The end-user device obtains a distance between the end-user device and an object. The end-user device includes a predetermined mapping relationship between distance and size. The end-user device determines a second size based on the distance and the predetermined mapping relationship. The end-user device displays the image at the second size.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Abstract: Embodiments described herein provide a client system for facilitating enhanced offline payment. During operation, the system obtains a location indicator, which indicates the location of a service, from a charging system. The system then generates an offline code that allows access to the service and corresponds to the location indicator. The offline code can be readable by the charging system, and the client system and the charging system can both be offline. Subsequently, the system encodes the historical data associated with the service in a field of the offline code and sends a message comprising the offline code to the charging system.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data synchronization. One of the methods includes that a first terminal device establishes a data channel to a specified carrier through near field communication. The first terminal device obtains an account identifier of a first account and first streaming data corresponding to the first account through the data channel, where the account identifier of the first account and the first streaming data are stored in the specified carrier. The first terminal device determines second streaming data corresponding to a second account associated with the first account, and performs data synchronization between the first account and the second account based on the first streaming data and the second streaming data.

Abstract: An end-user device displays an image at a first size. The end-user device obtains a distance between the end-user device and an object. The end-user device includes a predetermined mapping relationship between distance and size. The end-user device determines a second size based on the distance and the predetermined mapping relationship. The end-user device displays the image at the second size.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.