5 results about "Effective date" patented technology

This specification provides a data query method, apparatus, device, and storage medium. The method includes: receiving a data query request for a storage space, wherein the storage space stores metadata of multiple metadata versions and content of multiple content versions corresponding to at least one object; wherein the metadata of the multiple metadata versions corresponds to different metadata effective dates, and the content of the multiple content versions corresponds to different content effective dates; querying the storage space for metadata of a target metadata version and content of a target content version that match the query conditions indicated by the data query request; and combining and returning the metadata of the target metadata version and the content of the target content version.

The embodiment of the invention provides a file merging method and device, equipment, a medium and a product, and relates to the field of big data. The method comprises the following steps: acquiring configuration parameters for file merging from a configuration table, wherein the configuration parameters comprise a target file name, a sub-library file name list and a file type; comparing the effective date of the configuration parameter with the current system date, using the new configuration parameter when the system date is greater than or equal to the effective date, otherwise using the old configuration parameter; and based on the used configuration parameters, performing merging processing on the sub-library files to generate a target file. According to the scheme, the configuration parameters are changed through the effective date, errors of manual merging are reduced, the configuration parameters are managed through the configuration table, the merging rule can be dynamically adjusted according to service requirements, program codes do not need to be modified, and therefore the file merging efficiency is improved.

A computing system is provided, including a processor configured to, at inference time, input an article to a first trained machine learning (ML) model. The processor is further configured to extract, via the first trained ML model, candidate dates from the article. The processor is further configured to input the extracted candidate dates to a second trained ML model, and classify, via the second trained ML model, each extracted candidate date into one of plurality of classifications including a tax effective date and a date other than a tax effective date. The processor is further configured to create a modified article that highlights the candidate date classified as the tax effective date and the candidate date classified as the date other than the tax effective date, in which the tax effective date and the date other than the tax effective date are highlighted in a visually distinguishable manner.

Method and system for processing domain-specific documents (e.g. insurance policy documents) comprises receiving 102 the documents, tagging 104 unique fields (e.g. policy period, effective date, polic

The invention provides a task execution method and device, equipment and a storage medium, relates to the field of big data processing, and is used for improving the accuracy of a resource return value, and the specific scheme is as follows: determining a target update plan in a plurality of update plans of a parameter update plan table according to a target update date, when the target update date is consistent with the planned effective date and the update control identifier is the preset first identifier, reading the previous reference update date and taking the previous reference update date as the target effective date of the current parameter reference quantity, and determining the target value of the parameter reference quantity based on the target effective date, so that the accuracy of the value of the parameter reference quantity is ensured; and finally, a second resource use cost parameter is calculated according to the target value and the offset, and a resource return value is determined based on the second resource use cost parameter, so that a resource use cost parameter updating error possibly introduced by directly adopting latest parameter reference data is avoided, and the accuracy of the resource return value is improved while the flexible adjustment requirement is met.