6results about How to "Achieve fairness" patented technology

The embodiment of the present specification provides a kind of decision graph atlas graph data generation method and device.The method is executed by computer, comprising: reading first graph data from first storage area, wherein it includes the first node corresponding to the event attribute of first type business event.Several rules scripts are read from second storage area, rule script defines several decision rules, each decision rule includes identification field and expression field;Any variable included in the expression field of any decision rule is one of several event attributes or the identification value of the identification field of other decision rules.Through parsing rule script, determine second graph data, wherein it includes: parsing expression field obtains the dependent relationship between decision rule and event attribute and between each decision rule;Second graph data includes the second node corresponding to several rules, and the connection edge generated according to dependent relationship.Further, based on first graph data and second graph data, generate the graph data of decision graph atlas.

The application discloses a kind of settlement balance transparent data labeling crowd sourcing method, system and medium, method includes: establishing data labeling crowd sourcing system, determine interactive entity;Task requester mixes and is labeled data and unlabeled data to obtain to be labeled data, while setting the public condition of labeled data, public task information tuple after encryption through smart contract on blockchain, deposit task reward setting task deposit, public task download link;Worker confirms to accept task and deposits task deposit, generates proof after downloading and completing data labeling task, and public task result and proof;Task requester worker proof, evaluate task result, create and broadcast a piece of hash time lock transaction, pay task reward to worker.The application carries out fair trade under the supervision of no trusted third party by blockchain and hash time lock, realizes the objectivity and fairness of task reward distribution, guarantees the balance and transparency of task reward settlement.

The application relates to a loan quota credit method, device and equipment, which comprises the following steps: obtaining credit application information of a loan party, and obtaining financing credit evaluation information and prior business verification data of the loan party from a pre-constructed credit evaluation alliance chain; generating current business verification data according to the obtained current evaluation business data of the loan party, an investment party and a guarantee party, and verifying the prior business verification data according to the current business verification data; after verification, verifying the credit application information based on the financing credit evaluation information; if the credit application information meets preset credit conditions, obtaining credit quotas given by each financial institution in a pre-constructed credit alliance chain; determining a loan quota according to the credit quotas given by each financial institution, and if the loan quota meets preset consensus conditions, storing the loan quota in the credit alliance chain. The fairness, independence and verifiability of the credit quotas given by the financial institutions are ensured, and the individual evaluation risk of the financial institutions is effectively reduced.

The application discloses a spoken language evaluation system and method based on multiple dimensions, and relates to the technical field of data processing.The system comprises the following steps: obtaining audio text, a phoneme list and a phoneme time boundary list corresponding to speech data according to a pre-trained text phoneme recognition model; calculating a fluency score according to the phoneme list and the phoneme time boundary list; obtaining a semantic score of the audio text through a pre-trained semantic model; obtaining a syntax score of the audio text through a pre-trained syntax model; matching the audio text and an answer text according to a text matching method based on an edit distance to obtain a text matching score; obtaining a pronunciation score of the audio data finally through phoneme confidence of the phoneme list; dynamically adjusting the weight of each dimension score according to the length of the audio text, and calculating a final spoken language evaluation score; and the application comprehensively evaluates the spoken language ability through multi-dimensional evaluation and dynamic weight adjustment according to the scene, and realizes the comprehensiveness, fairness, accuracy and high efficiency of the spoken language evaluation.

The application belongs to the technical field of military research data management, and discloses a data right protection and contribution calculation system of a block chain, which comprises: an application layer, which is used for providing trusted military research data based on a block chain core layer to realize data evidence, whole-process operation tracing, multi-dimensional contribution calculation and auditing functions for a collaborative research and development scene; an enhanced component layer, which is used for providing management services, data scheduling, user access and security enhancement support for the application layer; a block chain core layer, which is used for providing block chain basic capabilities supporting multi-chain collaboration, high-throughput consensus, automatic execution of intelligent contracts, national secret level security protection and trusted node management; and an infrastructure layer, which provides computing, storage and network resources for the application layer, the enhanced component layer and the block chain core layer. The application realizes data right protection and contribution calculation by adopting block chain encryption algorithms, consensus mechanisms, distributed ledgers and intelligent contracts and other technologies.

The application provides a data processing method and device of educational software, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: obtaining original data packets generated when a target educational software runs, wherein the original data packets at least comprise context parameters, and the context parameters comprise called algorithm identifiers, input parameters and output results; preprocessing the original data packets to generate algorithm data records; extracting structured algorithm archives of at least one algorithm to be verified from the algorithm data records, wherein the structured algorithm archives comprise static attribute information, dynamic running characteristics and model attribute information; performing risk assessment on the structured algorithm archives of each algorithm, determining risk scores of each algorithm, and performing differentiated hierarchical storage on the structured algorithm archives of the algorithms based on the risk scores of the algorithms, so that the whole-process traceability of algorithm behaviors in the educational software is realized, and the algorithm transparency is enhanced.