Abstract: Implementations of the present application provide data interaction and offline credit payment methods and devices. In one implementation, a credit payment code generated by a server is obtained by scanning and parsing a two-dimensional code presented on a mobile computing device for making a payment. The credit payment code is then decrypted based on asymmetric key decryption to obtain a credit payment token. The credit payment token is parsed to obtain security content included in the credit payment token. The payment associated with the credit payment code is then determined to satisfy the security content and the payment is verified with the server that generates the credit payment code at a predetermined time.

Abstract: Methods and electronic circuits for executing instructions in a central processing unit (CPU) are provided. One of the methods includes forming an instruction block by sequentially fetching, from a current thread queue, one or more instructions including one jump instruction, wherein the jump instruction is the last instruction in the instruction block; transmitting the instruction block to a CPU execution unit for execution; replenishing the current thread queue with at least one instruction to form a thread queue to be executed; determining a target instruction of the jump instruction according to an execution result of the CPU execution unit; determining whether the target instruction is contained in the thread queue to be executed; and if not, flushing the thread queue to be executed, obtaining the target instruction and adding the target instruction to the thread queue to be executed.

Abstract: Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

Abstract: A method and an apparatus for creating an index in a blockchain-type ledger, and a device are disclosed. According to one implementation, a method may include obtaining, by a centralized database server, a data record, wherein the data record is stored in a blockchain-type ledger, and wherein the data record comprises a service attribute and a sequence number; determining location information of the data record in the blockchain-type ledger, wherein the location information comprises a block height of a data block comprising the data record, and an offset of the data record in the data block; establishing a mapping relationship between the service attribute, the location information, and the sequence number; and based on the sequence number, writing the mapping relationship to an index.

Abstract: This specification discloses techniques for risk identification. One example method includes receiving, by a client device, a risk identification request identifying a requested service operation and service data associated with the requested service operation; retrieving, by the client device, service data corresponding to the risk identification request; determining, by the client device, service indicator data associated with the service data; analyzing, by the client device, one or more of the service data and the service indicator based on a risk identification rule or a risk identification model to produce a risk result; and determining, by the client device, whether the requested service operation is a high risk operation based at least in part on the risk result.

Abstract: The present specification discloses a data processing method, apparatus, medium and device. The method includes: receiving a QUIC data packet that is sent by a first device and that includes a CID; parsing the CID and determining a routing address based on a parsing result; and routing the received QUIC data packet to a second device based on the routing address, so the second device processes the QUIC data packet. When a data packet sent by a transmitting end device is received, a routing address of data transmission is determined by processing the received data packet, to quickly establish a data transmission channel between the transmitting end device and a receiving end device. As such, stored context information is not required, and connection errors caused by exceptions such as restarting and scaling in/out on a load balancer will not occur, thereby effectively improving processing efficiency of data transmission by using the QUIC protocol.

Abstract: A method for implementing visualization of public welfare activities includes: displaying to a target user a map of a geographic region for carrying out a public welfare activity in response to the target user's selection, wherein the map comprises a first geographic location associated with a first icon indicating that the public welfare activity has been carried out at the first geographic location and a second geographic location associated with a second icon indicating that the public welfare activity is able to be carried out at the second geographic location; when a relationship exists between the target user and a public welfare activity participant user that has carried out the public welfare activity on the map, displaying on the map user information of the public welfare activity participant user; updating the second icon to be a first icon in response to the target user's selection on the second icon.

Abstract: A merchant evaluation method includes: acquiring multi-dimensional evaluation index data of a merchant to be evaluated; for the multi-dimensional evaluation index data, obtaining, by calculation based on standard normal distribution, a health portrait of the merchant to be evaluated, and obtaining, by calculation based on a geometric mean, a health score of the merchant to be evaluated, wherein the health portrait is data representing at least one evaluation result of the merchant to be evaluated; and outputting the health portrait and the health score of the merchant to be evaluated.

Abstract: The present application provides blockchain-based anti-counterfeiting methods, apparatuses, and systems. One method includes: obtaining an anti-counterfeiting verification request submitted by a user for a product; initiating anti-counterfeiting verification of the product in response to the anti-counterfeiting verification request, wherein the anti-counterfeiting verification comprises integrity verification of anti-counterfeiting information generated by a plurality of anti-counterfeiting participants on a blockchain, wherein the anti-counterfeiting information comprises a plurality of types of anti-counterfeiting identification information corresponding to the product; and returning an anti-counterfeiting verification result for the product to the user.

Abstract: Embodiments of the present application provide a blockchain-based data evidence storage method, a blockchain-based data check method, and relevant apparatuses. The data evidence storage method comprises: performing irreversible encryption on data content of a target file to obtain irreversibly encrypted data of the target file; storing the irreversibly encrypted data in a blockchain and obtaining on-chain evidence storage information of the irreversibly encrypted data; generating a digital watermark of the on-chain evidence storage information; embedding the digital watermark into the target file; and storing the target file embedded with the digital watermark of the on-chain evidence storage information.

Abstract: Embodiments of the present specification provide a method, an apparatus, a client terminal, and a server for data processing. The method includes: selecting, based on a data attribute of to-be-processed data, a target coordinating server from a plurality of coordinating servers, the plurality of coordinating servers belonging to a plurality of server clusters respectively; and sending a data processing request to the target coordinating server, such that a server cluster to which the target coordinating server belongs processes the data processing request preferentially, the data processing request directing to the to-be-processed data.

Abstract: Computer-implemented methods, non-transitory, computer-readable media, and computer-implemented systems for blockchain-based payment withholding and agreement signing are described. In one computer-implemented method, an agreement signing transaction submitted by a user is received and used to authorize a payment system to provide a payment withholding service for a payment order of the user in a third-party service system. The agreement signing transaction includes agreement signing information of a tripartite agreement submitted by the user. Withholding verification logic declared in a first smart contract published on the blockchain is invoked to check whether there is a withholding agreement signed between the payment system and the third-party service system on the blockchain. If yes, the tripartite agreement is created that authorizes the payment system to provide the payment withholding service for the payment order for the user and published to the blockchain for certificate storage.

Abstract: A client device determines a local user gradient value based on a current user preference vector and a local item gradient value based on a current item feature vector. The client device updates a user preference vector by using the local user gradient value and updates an item feature vector by using the local item gradient value. The client device determines a neighboring client device based on a predetermined adjacency relationship. The local item gradient value is sent by the client device to the neighboring client device. The client device receives a neighboring item gradient value sent by the neighboring client device. The client device updates the item feature vector by using the neighboring item gradient value. In response to the client device determining that a predetermined iteration stop condition is satisfied, the client device outputs the user preference vector and the item feature vector.

Abstract: Provided is a method for blockchain-based recordkeeping and implementable by a terminal device. The method comprises: obtaining target data; computing a data digest of the target data, and extracting a key segment from the target data; signing, in a secure operation environment included in the terminal device, the data digest and/or the key segment based on a private key associated with the terminal device to generate a signature; and submitting to a blockchain the data digest, the key segment, and the signature, for one or more nodes in the blockchain to verify the signature based on a public key corresponding to the private key, and to record the data digest and the key segment in the blockchain in response to the signature being verified to be valid.

Abstract: One or more embodiments of this application provide a claim settlement method and apparatus employing blockchain technology, which are applied to a blockchain comprising a node device of an insurer and a node device of an insured party, a first smart contract for insurance claim settlement being deployed in the blockchain. The method comprises: acquiring a first transaction for making claim settlement payment to an insured party, wherein the first transaction comprises claim settlement event data corresponding to the insured party; and calling a first smart contract, executing an insurance claim settlement logic declared in the first smart contract and corresponding to the insured party, and performing, on the basis of the claim settlement event data, claim settlement processing with respect to the insured party.

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: The present specification provides a method and apparatus for determining feature words and a server. The method includes: obtaining text data; extracting a first feature word from the text data; updating a word segmentation library based on the first feature word to obtain an updated word segmentation library, the word segmentation library including a plurality of predetermined feature words for representing predetermined attribute types; and extracting a second feature word from the text data based on the updated word segmentation library and the predetermined feature words.

Abstract: Syntax parsing on a SQL statement is performed to determine whether an extended syntax identifier exists in the SQL statement, where the extended syntax identifier indicates a target computing service for the SQL statement. It is determined that the extended syntax identifier exists in the SQL statement. A computing service description statement in a first statement format is generated based on the SQL statement, where the first statement format is a statement format that can be recognized by a target computing framework. The computing service description statement is submitted to the target computing framework. Data queried by the SQL statement is invoked, in the target computing framework based on the computing service description statement, to perform target computation, where the SQL statement includes a computing element needed by the target computing service.

Abstract: One embodiment provides a method and system for managing risk-control commands. During operation, the system can obtain statistics associated with a plurality of risk-control commands issued by a risk-control system corresponding to a plurality of transactions on an online financial platform, and determine, based on the monitored plurality of risk-control commands, whether a subset of risk-control commands meets an anomaly condition. In response to determining that the subset of risk-control commands does not meet the anomaly condition, the system can forward the subset of risk-control commands to the online financial platform to facilitate the online financial platform in performing corresponding transactions according to the subset of risk-control command. In response to determining that the subset of risk-control commands meets the anomaly condition, the system can prevent the subset of risk-control commands from being forwarded to the online financial platform.

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.