5results about How to "Improve service capabilities" patented technology

The application discloses a communication address resolution service updating method and device, equipment, medium and product, and the method comprises the following steps: in response to a communication address resolution request of a user, a first resolution interface of a self-built communication address resolution service is called to process, so that a first resolution result obtained after an application neural network model is obtained is acquired, the model is used for determining a standard address text of an input address text in the request from a standard database; when the first resolution result indicates that the resolution fails, a second resolution interface of a third-party communication address resolution service is called to process, so that a second resolution result is acquired; when any resolution result contains a standard address text and resolution information thereof, the standard address text is stored in the standard database; in response to a timing task triggering event, part of the standard address texts recalled from the standard database according to given address samples are respectively combined with the address samples to form positive samples, and the model is trained. The application can provide efficient and accurate communication address resolution services for e-commerce platforms at a relatively low cost.

This invention relates to the field of data retrieval technology, specifically disclosing a database-based method for rapid retrieval of skills learning data, comprising the following steps: S1: Preset a retrieval period, statistically analyze the types, occurrences, and frequencies of retrieval fields within the period, and stop if the threshold is not met; S2: Construct binary retrieval field combinations, calculate the frequency and correlation coefficient of each combination field; S3: Single-field retrieval matches initial courses, calculates popularity based on the number of enrollees and collections, and sorts them; S4: Divide primary and secondary fields to correct popularity, sort and filter popular courses, and establish a connection between combinations and courses; S5: Prioritize displaying related popular courses, continuously update the period, and repeat the process after decomposing multi-field combinations. This method can improve retrieval accuracy and efficiency, ensure course timeliness and recommendation quality, adapt to the needs of skills training platforms, optimize resource allocation, and enhance the platform's core competitiveness.

The application provides a memory data processing method and device, equipment and storage medium, and relates to the technical field of data processing. The method comprises the following steps: determining a target storage component currently in an enabled state in a multi-level storage component; the multi-level storage component comprises at least a first local cache, a second distributed cache, a third event log storage and a fourth persistent storage; in response to a memory extraction request initiated by a large model intelligent agent through an interface layer, resolving request parameters in a control layer, and calling the target storage component to perform corresponding processing operations based on the request parameters; when the to-be-written data in the request parameters is written into the enabled third event log storage, triggering a background consumer to perform asynchronous evaluation processing on the to-be-written data, and when the to-be-written data meets a preset long-term storage condition, writing the to-be-written data into the fourth persistent storage based on a data identifier, thereby realizing layered and differentiated access management of memory data and improving the retrieval efficiency of memory data.

The present application relates to the technical field of smart grid, especially to a power grid base digital employee intelligent construction and multi-scene adaptation method, which analyzes the process nodes and data flow paths of the whole business of the power grid base, and constructs a business flow knowledge link; determines multiple typical business scenarios, combines the scenarios and the knowledge link to predict demand pain points, and establishes a multi-scene demand pain point distribution dynamic knowledge graph; defines the compliance constraint space of each business node, obtains the existing digital employee ability configuration network, fuses the knowledge graph and the constraint space to identify the ability gap, and accurately locates the gap module and degree; based on the gap degree, the ability module is adapted and optimized to generate the construction optimization result, realizing the closed-loop management from business modeling, pain point prediction to gap identification and optimization, effectively solving the problems of poor scene adaptability of traditional digital employees, insufficient compliance risk identification and incomplete ability coverage, and significantly improving the intelligent level and multi-scene adaptation efficiency of the power grid base service.

The present application belongs to the field of information technology and data management, and relates to a two-dimensional code management, service and security guarantee method and device for enterprise level, which comprises the following steps: constructing a unified two-dimensional code management platform, adopting a tree topology structure and a five-layer classification mechanism to uniformly encode and manage two-dimensional codes, and combining a label mechanism to multi-dimensionally define two-dimensional code attributes; performing full life cycle management on two-dimensional codes; configuring the generation, beautification, template customization, printing and interface of providing external services of two-dimensional codes through an API interface; establishing a code analysis system to collect, count, analyze and visualize two-dimensional code usage data; and constructing a code security system through automatic content review, localized deployment, encryption algorithm, API security reinforcement and access control strategy. The present application has good expansibility and adaptability, and can improve operation efficiency and service capability, strengthen data security guarantee and excavate data asset value through centralized, unified and standardized management.