The invention discloses an account collection record processing method and system based on a block chain smart contract. A service node serving at least one service party (such as a payment platform)and a management node serving at least one manager are introduced into a block chain network; the payment platform can submit the account collection record of the merchant to the block chain network, each node in the block chain network determines the distribution commission amount related to the account collection record based on a pre-deployed intelligent contract, and the account collection record and the corresponding distribution commission amount can also be written into the block chain for storage.

Account collection record processing method and system based on block chain smart contract

The embodiment of the invention discloses an electronic resource transfer method and device based on a block chain. The electronic resource transfer method comprises the steps: acquiring resource transfer information of electronic resource transfer from a first terminal to a second terminal, wherein the resource transfer information comprises a first resource numerical value corresponding to a first electronic resource type and a second electronic resource type associated with the second terminal, wherein the first terminal is associated with the first electronic resource type; and storing theresource transfer information to the blockchain network, sending the resource transfer information to a second node device of the blockchain network, so that the second node device of the blockchainnetwork obtains the resource transfer information from the blockchain network, and determining a second resource numerical value corresponding to the second electronic resource type according to the first resource numerical value; and transferring a target transfer resource with the second electronic resource type and the second resource numerical value to the second terminal. Through the embodiment of the invention, the cross-border electronic resource transfer efficiency can be improved.

Electronic resource transfer method and device based on block chain

The invention discloses a dynamic presentation method and device for big data visual analysis and a terminal. The dynamic presentation method comprises the following steps: calculating data to be analyzed to obtain an analysis result, wherein the analysis result includes entity identifiers and links among different entity identifiers; determining data values of interaction data between two entity identifiers connected through the links and pointing directions of the links, wherein the pointing directions of the links are the same as flow directions of the interaction data; and visually presenting the analysis result, and displaying moving legends on the links while presenting the analysis result, wherein the moving directions of the legends are the same as the pointing directions of the links. Through the technical scheme of the invention, the convenience and vividness in presentation of the analysis result are enhanced.

Dynamic presentation method and device for big data visual analysis and terminal

The invention discloses a payment method and a device for a catering order, a computer storage medium and an electronic device, wherein, the payment method comprises the following steps of: obtainingpayment data of a current catering order; Determining a credit payment data range of the payer according to the determined credit evaluation data for the current catering order payer; a credit paymentreminder for payment data of the current catering order is output according to the credit payment data range. Thus, it is possible for the payer to make a credit payment, and the credit payment can be made after the payer leaves the store, so as to improve the convenience of eating and payment.

Payment method and device for a catering order, storage medium and electronic device

A particular machine learning architecture involving a two-part artificial intelligence (AI) model is disclosed, with one portion being trained on first data (e.g. older data) and another portion being trained on second data (e.g. newer data) in various embodiments. A robust AI model can be combined with an adaptive AI model to account for long-term trends as well as newly emerging population trends. The model architecture can be constructed using gradient boosting trees, artificial neural networks, or other machine learning models. The adaptive AI model can be re-trained on a more frequent basis than the robust AI model, and can use newer types of data in its classification techniques. The adaptive and robust AI models can be combined using logistic regression to provide unified predictions. Electronic transactions and other types of data subject to potential pattern shifts can thus be more accurately classified.

Robust and Adaptive Artificial Intelligence Modeling

The invention discloses a cross-border payment rapid settling method based on credit big data Based on the historical transaction big data accumulated on e-commerce platforms by merchants, commodities and users, the method carries out estimation to the transaction risks using the artificial intelligence method For the transactions whose estimated risks are low, a third-party is used to pay in advance so that the capital settlement is made in advance to the domestic accounts of merchants This avoids the complicated and tedious procedures of a regular settling mode requiring the transaction completion by the users, e-commerce platform financial period completion, e-commerce settlement to a third party and third-party clearance via banks until to the domestic accounts of merchants Therefore, under the condition that the pre-paid risk is controlled, the cross-border capital settling procedure for the merchants is simplified, the third-party payment and settlement efficiency is increased; and the capital can be transferred among accounts in shorter time Therefore, the capital cycling efficiency is increased; the risk change risk incurred from an excessively regular long settlement period is reduced, and the operation risks of the merchants are reduced

Cross-border payment rapid settling method based on credit big data

The present invention provides a dynamic network accounting deep payment sub-accounting method and system. The method comprises: determining a fund inflow node as a primary node, summarizing a dynamicfund flow relationship with the primary node as a total payment source in a certain time window, and generating a payment network under the preset payment depth according to the summarized fund flowrelationship between the primary node and each level of secondary node; on the conditions of the balance of fund inflow and outflow of each node, performing interval node direct connection and adjacent node pruning processing on the fund flow with multi-level links or repeated links in the payment network so as to shorten the payment path between the primary node and the succeeding secondary node;according to the new fund flow relationship between the primary node and each level of secondary node, generating a new payment network; and according to the fund flow path in the new payment network, performing sub-account payment from the primary node to the succeeding secondary node. According to the method and system provided by the present invention, effects of improving the efficiency of fund payment, reducing the links of the fund flow, and reducing the cost of the payment process can be achieved.

Dynamic network accounting deep payment sub-accounting method and system

Disclosed is a rapid settlement method for cross-border payment based on big credit data. In the present invention, based on big historical transaction data accumulated on an e-commerce platform by a merchant, a commodity and a customer, assessment is performed on the transaction risk using an artificial intelligence method. With regard to a transaction with a low assessment risk, an advance payment on account mode of a third-party platform is used to settle capital to a domestic account of a merchant in advance, so as to avoid tedious procedures of a conventional clearing and settlement mode which needs to wait for the customer to confirm transaction completion, e-commerce platform account period completion, e-commerce settlement to a third-party platform and third-party platform clearing to the domestic account of the merchant via a bank. On the premise that the payment on account risk is controlled, the beneficial effects of simplifying a cross-border capital clearing and settlement procedure for a merchant, increasing third-party payment clearing and settlement efficiency, shortening a merchant capital accounting date, increasing the merchant capital turnover efficiency, reducing an exchange rate change risk caused by an excessively long conventional settlement period, and reducing the business risk of a merchant are achieved.

Rapid settlement method for cross-border payment based on big credit data

A depth payment splitting method and system for use in dynamic network balancing, said method comprising: determining a node by which funds flow in as a main node, summarizing the relationship of a dynamic flow of funds within a certain time window which uses said main node as an overall payment source, and generating a payment network under a preset payment depth according to a summarized relationship of a flow of funds between the main node and each level of nodes (S1); by using the inflow and outflow of funds of each node being balanced as a condition, establishing a direct connection between nodes at intervals and performing adjacent node pruning processing on a flow of funds which has a multi-level link or a duplicate link within the payment network so as to shorten a payment path between the main node and a subsequent level of nodes (S2); generating a new payment network according to the relationship of a new flow of funds between the main node and each level of nodes (S3); performing payment splitting from the main node to the subsequent level of nodes according to a path of a flow of funds in the new payment network (S4). Said method increases efficiency in the payment of funds, reduces the transferring links for the flow of funds, and lowers costs during the payment process.

Depth payment splitting method and system for use in dynamic network balancing

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Cross-border payment rapid settling method based on credit big data

Dynamic network accounting deep payment sub-accounting method and system

Rapid settlement method for cross-border payment based on big credit data

Depth payment splitting method and system for use in dynamic network balancing