5results about How to "Avoid calling" patented technology

The invention discloses an instruction processing method and device based on social intent recognition, a storage medium and equipment, relates to the technical field of the Internet, and mainly aims to solve the problem of low service efficiency caused by invalid instruction execution of an existing social application. Comprising the steps of determining a social intent based on an application addition count value and user session content; if the social intention is a non-absolute rejection intention, determining a multi-modal feature and a meta-learning weight based on the user session content, and determining an intention score based on the multi-modal feature and the meta-learning weight, the meta-learning weight being determined based on a context feature of the user session content; and when the intention score is greater than a preset intention threshold value, executing a social application adding event, and determining a target social execution instruction based on an adding response and the updated application adding count value, so as to execute a corresponding operation based on the target social execution instruction.

The invention provides a service management system, a service calling method and device, equipment and a medium, and the system comprises a service provider which is used for deploying a service and adding a unit label to the service; wherein the unit label is used for representing a business unit to which the service belongs; the registration center is used for registering the service which is deployed by the service provider and is added with the unit label; and the service calling party is used for acquiring the target unit label corresponding to the specified business unit, determining the target service from the registration center according to the target unit label, and calling the target service. According to the invention, the traffic sealing in the service unit can be realized without splitting the registration center, the transformation cost of the remote service framework is reduced, the transformation efficiency is improved, and the overall performance of the system is improved.

The invention provides a pre-training language model retrieval method and system based on knowledge graph enhancement, and the method comprises the steps: carrying out subgraph division processing on a domain knowledge graph, and generating a subgraph index matched with a user retrieval type; updating the domain knowledge graph and the sub-graph index by adopting an incremental training method of a graph neural network; user query is decomposed into an entity set and a relation path through entity recognition, entity disambiguation, entity linking and relation extraction operation; positioning a corresponding sub-graph index based on the entity set and the relation path, and extracting a related sub-graph from the domain knowledge graph; and respectively coding the head entity, the relationship and the tail entity in the related sub-graph triad into basic vectors, and performing semantic fusion processing on the basic vectors to generate knowledge prompt vectors. The method has the advantages of accurately capturing domain structured association logic and responding to domain dynamic iteration knowledge in real time.

The invention provides a closed space communication optimization method and related equipment thereof. The method comprises the following steps: correcting a received original acceleration according to a space coordinate system, identifying a motion state to generate space motion data, and carrying out correlation analysis on received power of a reference signal according to the space motion data to obtain an early warning mark of signal attenuation and a time window, and determining a target base station from the neighborhood list according to the early warning mark, performing pre-synchronization processing on the target base station to obtain synchronization information of the target base station, and connecting the terminal to the target base station according to the time window and the synchronization information when the signal power between the terminal and the current base station obtained by the terminal is lower than a power threshold. According to the method, the operation state of the closed space is pre-judged in advance, the adjacent region pre-synchronization and switching request is started before the signal is completely attenuated, the weak signal capturing capability is enhanced, and non-inductive transition and rapid reconstruction of communication are realized.

The application provides a personnel safety monitoring method and device and a medium, and relates to the technical field of safety monitoring. In the method, a target monitoring task corresponding to a target object is determined through a personnel state description text of the target object and a standard state feature vector corresponding to a preset safety monitoring task. If the number of the target monitoring tasks is not 0, a target motion path corresponding to the target object is predicted based on the target monitoring task, and a certain number of target camera devices are selected from camera devices passed through by the target motion path. All target monitoring tasks corresponding to the target object are bound to each target camera device, and personnel safety monitoring is performed on the target object according to a face image of the target object and each target monitoring task bound to each target camera device and corresponding to the target object. The target monitoring task can be dynamically determined, and the calling of global camera devices is avoided, which is beneficial to improving the overall monitoring efficiency and response timeliness.