Abstract: Embodiments of the present application provide a method and an apparatus for displaying an identification code of an application. The method includes: acquiring an identification code in a target application in a system user interface (UI), where the identification code is generated by the target application according to user information in the target application; and displaying the identification code in an icon-display region of the target application in the system UI.

Abstract: The implementations provide a method and an apparatus for establishing a trusted cluster. The method is used to form a trusted computing cluster by using N trusted computing units, the method including: grouping the N trusted computing units into a plurality of groups; identifying a first trusted computing unit in each group, and causing first trusted computing units in the plurality of groups to each respectively perform inter-unit trust authentication with other trusted computing units in a same group in parallel; performing inter-group trust authentication between/among the plurality of groups in parallel to obtain the N trusted computing units on which trust authentication succeeds; and propagating secret information in the N trusted computing units on which trust authentication succeeds, so that the N trusted computing units obtain the same secret information to form the trusted computing cluster.

Abstract: An embodiment provides a system and method for sample labeling. During operation, the system obtains a plurality of historical loss assessment images and obtains a plurality of candidate samples from the plurality of loss assessment images. A respective candidate sample comprises an image of a candidate damage area detected in a corresponding historical loss assessment image. The system clusters the plurality of candidate samples into a plurality of class clusters. For a respective class cluster, the system determines a center candidate sample set corresponding to a class cluster center of the respective class cluster, receives a manual labeling result associated with candidate samples in the determined center candidate sample set, and performs, according to the manual labeling result, damage classification labeling on other unlabeled candidate samples in the respective class cluster to obtain a plurality of labeled samples.

Abstract: Embodiments of the present specification disclose a resource sharing method, apparatus, and device, where the method includes: obtaining, by a first blockchain node, a resource from a second blockchain node; performing, by the first blockchain node, a sharing operation to share the resource with one or more user terminals; generating, by the first blockchain node, sharing information related to the sharing operation; and broadcasting, by the first blockchain node, the sharing information to a blockchain network associated with the first blockchain node and the second blockchain node.

Abstract: In an implementation, one or more user interactions from a virtual reality (VR) device user for initiating a service in a VR scenario of a VR application are detected. One or more eye physiological characteristics of the VR device user are obtained for user identity authentication. The obtained one or more eye physiological characteristics are compared with one or more pre-stored eye physiological characteristics samples. The VR device user is authenticated if the one or more eye physiological characteristics match at least a portion of the one or more pre-stored eye physiological characteristics samples, and a server that provides and performs the service is communicated with.

Abstract: A computer-implemented method, medium, and system are disclosed. In one computer-implemented method, an invocation request sent by an initiator is received by a blockchain node in a blockchain network. The invocation request is associated with invocation of a smart contract in the blockchain network. The smart contract includes contract code, data, and pre-update metadata. A pre-update data structure described by the pre-update metadata is parsed by the blockchain node and by execution of the contract code. The pre-update data structure is associated with the data comprised in the smart contract. Following parsing of the pre-update data structure, the pre-update data structure is represented by the blockchain node using a computer programming language. The pre-update data structure specified by the computer programming language is sent by the blockchain node to the initiator.

Abstract: Techniques for providing a service execution method and device are described. A request is received from a browser of a client device. A web page is determined from the received request. The web page is transmitted to the client device to wake up a designated application of the client device. A service execution request is received from the designated application of the client device. The received service execution request is determined to correspond to the received request. In response to determining that the received service execution request corresponds to the received request, a service is executed based on the received service execution request.

Abstract: A system is provided for identifying damages of a vehicle. During operation, the system can obtain a set of digital images associated with a set of tagged digital images as training data. Each tagged digital image in the set of tagged digital images may include at least one damage object. Based on the training data, the system can train a damage identification model by reducing noise associated with the damage object; generating a set of feature vectors for the training data; and using the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model. The system can then apply the trained damage identification model to obtain a damage category prediction result and determine a repair solution based on the damage category prediction result.

Abstract: Disclosed are a data sample label processing method and apparatus.

Abstract: Implementations of this disclosure provide data transmission operations and network interface controllers. An example method performed by a first RDMA network interface controller includes obtaining m data packets from a host memory of a first host; sending the m data packets to a second RDMA network interface controller of a second host; backing up the m data packets to a network interface controller memory integrated into the first RDMA network interface controller; determining that the second RDMA network interface controller does not receive n data packets of the m data packets; and in response, obtaining the n data packets from the m data packets that have been backed up to the network interface controller memory integrated into the first RDMA network interface controller, and retransmitting the n data packets to the second RDMA network interface controller.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for allocating resources are provided. One of the methods includes receiving a first request from a first client for accessing a server, wherein the first request includes token information corresponding to resource information of a second client; determining, according to the token information included in the first request, the resource information of the second client corresponding to the token information; receiving resource allocation information from the first client; and allocating resource according to the resource allocation information from the first client and the resource information of the second client.

Abstract: Some embodiments of the present specification provide a method and an apparatus for establishing a trusted channel between a user and a trusted computing cluster. According to the method, when a user wants to establish a trusted channel with a trusted computing cluster, the user only negotiates a session key with any first trusted computing unit in the cluster to establish the trusted channel. Then, the first trusted computing unit encrypts the session key using a cluster key common to the trusted computing cluster to which the first trusted computing unit belongs, and sends the encrypted session key to a cluster manager. The cluster manager transmits the encrypted session key in the trusted computing cluster, so that other trusted computing units in the cluster obtain the session key and join the trusted channel. Thus, the user establishes a trusted channel with the entire trusted computing cluster.

Abstract: An implementation of the present specification discloses a method for processing payment in an offline scenario. A collection terminal, when in an offline state, scans an offline code generated by a user terminal in an offline state to obtain offline code information, obtains a payment amount, and saves the offline code information and the payment amount, and if in an online state, uploads the offline code information and the payment amount to a server, so that after receiving the offline code and the payment amount, the server pays a deduction amount from a corresponding payment account based on the offline code information and the payment amount, and thus puts the deduction amount into a payment account corresponding to the collection terminal. As such, the payment function can still be achieved when the user terminal and the collection terminal are in an offline state.

Abstract: Multiple geographic grids are generated according to acquired location information of a service provider. Each geographic grid contains one or more service providers. The second region matching the target location information is a geographic grid for a region defined by the target location information. A presentation request for a search page is received. The presentation request includes target location information. A keyword is acquired that has a search popularity meeting a first condition in a first region matching the target location information, and the acquired keyword is used as a first keyword. The first keyword is provided for presentation in the search page.

Abstract: One embodiment provides a method and system for recommending content to users. During operation, the system can select a content piece from a content library and extract, by a computer using a natural language processing (NLP) technique, one or more keywords from the content piece. The system can determine a domain associated with the content piece based on the extracted keywords and obtain domain knowledge of the determined domain. The system can generate a feature tag for the content piece based on the extracted keywords and the obtained domain knowledge, and generate an attribute tag for a user based on historical data associated with the user. The system can then recommend one or more content pieces from the content library to the user based on feature tags associated with the one or more content pieces and the attribute tag for the user.

Abstract: A payment method, apparatus, and device are provided. The method includes: determining, according to geographical location information of a user, a third-party payment institute corresponding to the user's location, obtaining, through a payment server, a payment account of the third-party payment institute compatible for a local transaction, and scanning a barcode to complete a payment using the payment account. During the payment process, a DOI including information of the payment account is presented to a merchant, and the merchant extracts the payment account therein, and forwards order information and the payment account to the third-party payment institute. The third-party payment institute identifies the payment account and forwards the same to the payment server. The payment server identifies a user identity corresponding to the payment account, and then completes the payment process.

Abstract: A method and an apparatus for identifying a transaction risk are disclosed. The method includes obtaining risk identification information of a sub-network to which a node relating to a transaction to be identified belongs; and identifying a risk of the transaction to be identified based on the risk identification information of the sub-network to which the node relating to the transaction to be identified belongs, wherein the sub-network is a network acquired by partitioning a relationship network based on connectivity, the relationship network is a network built up with entities and activities relating to a plurality of transactions.

Abstract: One or more implementations of the present specification provide an information transmission method. Target information selected by a user of a first computing device is obtained by the first computing device. A unique identifier is obtained by the first computing device and from a second computing device, subsequent to the second computing device receiving the unique identifier from a server. The unique identifier is associated with the second computing device according to a mapping relationship. The unique identifier and the target information are sent to the server. The server identifies the second computing device associated with the unique identifier from the mapping relationship and forwards the target information to the second computing device.

Abstract: A transaction consensus processing method for a blockchain is provided. A target node that initiates a proposition performs compression processing on proposed transaction data based on a compression algorithm, and fragments the compressed transaction data into a number of data fragments based on an erasure code algorithm. The method includes: receiving a data fragment of the transaction data that is sent by the target node in a unicast mode, data fragments sent by the target node to nodes in the unicast mode being different; broadcasting the received data fragment to other nodes, and receiving data fragments of the transaction data that are broadcast by the other nodes; performing data recovery on the received data fragment based on an erasure code reconstruction algorithm, performing decompression processing on the recovered transaction data based on a decompression algorithm to obtain original content of the transaction data, and completing the consensus.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying a narrow-strip two-dimensional bar code. One of the methods includes obtaining an image of the narrow-strip two-dimensional bar code. A first positioning graph and a second positioning graph are detected in the image. A target region is determined from the image based on center positions of the first positioning graph and the second positioning graph, where the target region includes a rectangular region corresponding to the narrow-strip two-dimensional bar code. A data region is determined from the target region, and two-dimensional bar code data is determined from the data region.