86 results about "Service policy" patented technology

The invention discloses an activity strategy generation method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a service activity strategy recommendation description inputted to a strategy processing large model by a server for a platform service promotion activity, determining a target activity scene and an activity strategy generation intention by adopting the strategy processing large model based on the service activity strategy recommendation description, and calling a service strategy knowledge base to generate an activity strategy logic structure based on the target activity scene and the activity strategy generation intention, generating activity strategy canvas configuration data conforming to a preset strategy process arrangement standard based on the strategy logic structure, and performing strategy process rendering in a strategy canvas management engine by adopting the activity strategy canvas configuration data to obtain target activity strategy data for the platform service promotion activity, and a high-quality activity strategy can be generated for the platform service promotion activity.

The invention provides an intelligent customer service system, which comprises an information acquisition module used for identifying a customer identity according to a user login account and obtaining historical data under the account; the grading module is used for establishing a customer portrait model according to the historical data and classifying customer types; the matching module is used for automatically matching a service strategy model version corresponding to the account according to the customer type obtained by the grading module; the knowledge graph response module is used for carrying out deep analysis on client input contents based on the natural language understanding capability of a large language model in combination with a context, a client portrait and historical data after the version of the service strategy model is determined, automatically generating a task list and a semantic tag tree for a dialogue, and continuously optimizing the task list and the semantic tag tree; starting from a problem node of the task list, analyzing a corresponding semantic tag along an optimized and trained path in the knowledge graph, and matching a service processing action; and triggering a back-end system interface associated with the node according to needs, transferring real data, and solving client problems.

A flow tagging technique includes tagging a data flow at a plurality of points in the data flow. For example, the data flow can be tagged at a socket and at a proxy manager API. By tagging the data flow at multiple points, it becomes possible to map network service usage activities to the appropriate initiating applications.

Device assisted services (DAS) install techniques are provided in accordance with some embodiments. In some embodiments, DAS install techniques for providing service processors for mobile devices are provided. In some embodiments, DAS install techniques for downloading / installing new and / or updated service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing verified service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing secured service processors for mobile devices are provided. In some embodiments, DAS install techniques include determining if a communications device in communication with a wireless network includes a service processor for assisting control of the communications device use of a service on the wireless network, in which the service processor includes a service profile that includes a plurality of service policy settings, and in which the service profile is associated with a service plan that provides for access to the service; and verifying the service processor. In some embodiments, DAS install techniques include providing a generic first version service processor for downloading and installing a second version service processor.

The invention relates to the technical field of government affair services, in particular to a government affair service policy effect intelligent evaluation system based on multi-source data fusion. The system comprises a data acquisition module, a data fusion module, an evaluation model module and a result output module. The data acquisition module acquires policy-related data from a plurality of heterogeneous data sources; the data fusion module performs cleaning, normalization and semantic fusion processing on the multi-source data; the evaluation model module analyzes fusion data by using an intelligent evaluation model based on a causal inference framework, and quantitatively evaluates multiple dimensions of a policy effect; and the result output module generates a structured evaluation report. According to the method, the causal relationship between policy intervention and effects is accurately identified through a causal inference technology, multi-source data semantic fusion is realized by adopting the knowledge graph, the method has dynamic assessment and feedback calibration capabilities, and the accuracy and practicability of policy effect assessment are effectively improved.

A flow tagging technique includes tagging a data flow at a plurality of points in the data flow. For example, the data flow can be tagged at a socket and at a proxy manager API. By tagging the data flow at multiple points, it becomes possible to map network service usage activities to the appropriate initiating applications.

Methods and systems for managing services (e.g., the development, deployment, and configuration of services) are disclosed. User intent associated with policy related configurations for computer implemented services are directly and automatically translated into a set of user intended network policy and rules to be applied (e.g., enforced) by the computer implemented services without any need for the user to understand how the policies will be configured and implemented by the service deployment environment.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a service strategy generation and optimization method, device, equipment and medium, and the method comprises the steps: collecting multi-source interaction data to generate a multi-dimensional dynamic portrait, and obtaining an initial service strategy based on preset strategy set matching, and generating a to-be-executed service strategy in combination with an action combination output by the value network, constructing abnormal scene test data by using the generative adversarial network to complete verification and adjustment, obtaining a final service strategy, recording portrait change data and service indexes by executing the final service strategy, and feeding back the portrait change data and the service indexes to the value network and the portrait construction model. Through data-driven dynamic portrait modeling and strategy closed-loop optimization, the defects that in the prior art, a static rule is relied on, and different requirements of clients are difficult to adapt are overcome, dynamic evolution of the client service strategy is achieved, the real-time performance of the service and the resource configuration efficiency are improved, and the client experience is remarkably improved.

The invention discloses a discrete manufacturing full-life-cycle intelligent computing system and method, the system comprises a data knowledge layer, a computing adaptation layer and a parallel service layer, a virtual matching mechanism is used between the data knowledge layer and the computing adaptation layer, that is, primary mapping is formed according to task demand description and manufacturing resource description in a twin world, an optimal algorithm is called for a specific task, the most reasonable resources are adapted, an optimal service strategy is obtained, and a mapping process from a service demand to the service strategy is realized; a virtual-real parallel computing mechanism is used between a computing adaptation layer and a parallel service layer, that is, a mutual linkage relation is established in a physical world according to a service execution strategy obtained in a twin world, so that the requirement of discrete manufacturing full-life-cycle intelligent service is met, and the mapping process from a service strategy to service execution is achieved. And through two times of mapping, autonomous computing adaptation of task-knowledge-algorithm-resource in the whole life cycle of discrete manufacturing is realized.

The present disclosure relates to a 5th (5G) generation or pre-5G communication system for supporting a higher data transmission rate beyond a 4th (4G) generation communication system such as long term evolution (LTE). The present disclosure is to process policy and parameter information for providing a service in a wireless communication system, and an operating method of a base station may include obtaining mapping information of service quality related to direct communication between a first system and a second system, and switching between the quality of service of the first system and the quality of service of the second system using the mapping information.

A data processing method includes: obtaining a service surface activity feature of an object in a service, and inputting the service surface activity feature to a deep mining and analysis model, the deep mining and analysis model being configured to deeply mine one or more factor semantic representation features for a surface activity feature based on a configuration affecting factor system of the service; performing deep mining and analysis processing on the service surface activity feature in the deep mining and analysis model based on the configuration affecting factor system, to obtain a factor semantic representation feature of the service surface activity feature for each configuration affecting factor; and outputting a service policy of the object for the service and policy interpretation information for the service policy based on the factor semantic representation feature of the service surface activity feature for each configuration affecting factor.

Network service provisioning is described. Network service provisioning to a device includes a mechanism for ensuring that network services are available based upon one or more of appropriate traffic control, billing, and notification policies. Ensuring that the policies are properly enforced on a device is a focus of this paper. The enforcement policies can be on the device or in the network.

The invention discloses a big data-based agency service strategy optimization management system and method, particularly relates to the technical field of agency service strategy optimization, and relates to a big data-based agency service strategy optimization management system and method. The main purpose of the invention is to carry out optimization management on agency services through a big data analysis technology. According to the system, store request data is collected, cleaned, filed and analyzed, so that the network quality can be accurately evaluated, the time period of a high-frequency request is identified, and a resource scheduling strategy is optimized through a multi-dimensional decision framework. Through deep analysis of the store network quality and the service request, the stability and the response speed of the proxy service can be improved, so that the overall service efficiency and the user experience are improved.

The invention provides an SRv6 path selection method based on a knowledge graph. The method comprises the following steps: step S100, constructing a network knowledge graph library and a strategy and SID mapping library; step S200, performing natural semantic analysis on the business strategy input by the user to obtain business indexes; s300, arranging an SID sequence corresponding to the service strategy according to the service index, and if the service strategy input by the user is similar to the historical strategy meeting the condition, querying the strategy and SID mapping library, and outputting an SID sequence corresponding to the similar historical strategy; and if there is no similar historical strategy, mapping the service index into a specific network path weight and a constraint condition, calculating to obtain a physical path conforming to the service index, converting each node or link in the path into a corresponding SRv6 SID, arranging into an SID sequence, and storing the SID sequence and the corresponding strategy in a strategy and SID mapping library.

The invention discloses an AI service strategy updating method and device, a functional entity, a medium and a product, and relates to the technical field of communication, and the method applied to a first functional entity specifically comprises the steps: determining the execution capability information of the first functional entity based on the network state information of the first functional entity, when it is detected that execution capability information does not meet a preset capability index, a first service strategy adopted for executing the first AI task is updated, and the execution capability information is used for representing the capability of the first functional entity for executing the first AI task; and / or, receiving a first policy adjustment request sent by a second functional entity, and updating the first service policy based on the first policy adjustment request, the second functional entity and the first functional entity being functional entities deployed at the same network level; the first service strategy comprises at least one of a connection control strategy, an AI model selection strategy, a radio bearer DBR configuration strategy and a resource configuration strategy of the first functional entity.

The invention relates to the technical field of computers, in particular to a strategy execution method and a business promotion system for potential service objects, and aims to solve the problems of low accuracy and insufficient efficiency during processing of large-scale and high-dimensional data in the prior art. After a prediction request for a target object is received, inherent feature information and time sequence feature information of the target object are collected, the inherent feature information and the time sequence feature information are input into the two-channel deep learning model through the model layer, and the prediction probability and decision feature information that the target object becomes a potential service object are output. And if the prediction probability is greater than or equal to a preset threshold value, inputting the decision feature information into a strategy matching model, outputting a target service strategy, and calling an execution interface to execute the target service strategy so as to trigger a business promotion operation on the target object. According to the scheme, accurate identification of potential service objects and automatic execution of personalized strategies are realized, and decision accuracy and processing efficiency in a large-scale data scene are improved.

The specification discloses an activity strategy generation method and device, a storage medium and an electronic device, wherein the method comprises: obtaining a service activity strategy recommendation description input by a server to a strategy processing large model for a platform service promotion activity; determining a target activity scene and an activity strategy generation intention based on the service activity strategy recommendation description and using the strategy processing large model; calling a service strategy knowledge base to generate an activity strategy logic structure based on the target activity scene and the activity strategy generation intention; generating activity strategy canvas configuration data that meets a preset strategy flow arrangement standard based on the strategy logic structure; and using the activity strategy canvas configuration data to perform strategy flow rendering in a strategy canvas management engine to obtain target activity strategy data for the platform service promotion activity, so that a high-quality activity strategy can be generated for the platform service promotion activity.

This disclosure provides a service policy configuration method, device, apparatus, and storage medium. The method includes: receiving service request information sent by a terminal; the service request information carrying service configuration parameter information of the terminal; parsing the service request information to obtain the service configuration parameter information of the terminal; generating a service configuration message message conforming to the communication protocol between core network elements based on the service configuration parameter information and authentication configuration parameter information; the authentication configuration parameter information is obtained when authenticating the terminal; configuring an initial service policy according to the service configuration message message, and providing service to the terminal according to the initial service policy. This eliminates the need for manual configuration of the core network system, allowing the core network system to automatically adapt to terminal needs and automatically configure service policies, reducing the likelihood of configuration errors during manual configuration and effectively improving the efficiency of service configuration for the core network system.

The invention relates to a service strategy mining method and device, equipment, a medium and a product. The method comprises the following steps: acquiring a cross-subject relationship network and a preset service target, wherein the cross-subject relationship network is generated by performing data integration on multi-source heterogeneous data corresponding to a plurality of subjects; based on the service target, performing analysis processing on each subject in the cross-subject relation network, and determining at least one touch strategy; and performing strategy mining processing on the at least one touch strategy, and determining a target strategy. By adopting the method, the real-time performance of service strategy mining can be improved.

Providing data management as-a-service, including: presenting one or more available data services to a user; receiving a selection of one or more selected data services; and applying, in dependence upon the one or more selected data services, one or more data services policies to a dataset associated with the user.

The invention relates to the technical field of data processing, and provides a store service strategy generation method and device, equipment and a medium, which can start a pre-deployed multi-modal data acquisition device to acquire multi-modal data of a user in real time when a human body sensing device detects that the user enters a target store, so as to generate a store service strategy. The real-time performance and multi-dimensional coverage of the data are ensured; the multi-modal features are analyzed by using the user state recognition model, and the drunkenness risk reasoning model is used for reasoning to obtain the target drunkenness risk level, so that accurate reasoning can be performed through the multi-modal features, and misjudgment caused by a single data dimension is avoided; the target drunkenness risk level is utilized to perform traversal in the grading response strategy set to obtain the target store service strategy, and the target store service strategy is executed, so that targeted service can be performed after the drunkenness state is automatically identified, and the reasonability, safety and efficiency of store service are improved.

The application relates to the technical field of software-defined wide area network and discloses a multi-link global routing method and system based on dynamic policy linkage, which is applied to an SD-WAN controller and used for solving the technical limitation problem that in a traditional SD-WAN routing method, decision basis is limited to a current state and policy rules are statically fixed. The method generates a predicted value and a confidence evaluation of future performance of a link through a time series prediction model; based on the confidence evaluation, historical, current and future state information is dynamically fused to form a link quality trend value; and the confidence evaluation is used to dynamically modulate the validity degree of a multi-dimensional service policy weight in evaluation; finally, path selection probability distribution is obtained through iterative optimization, and an optimal path is selected according to a service type for forwarding, so that routing decision is upgraded from static rule response to dynamic optimization based on risk perception, and the foresight, intelligence, stability and adaptive robustness of network routing decision in a complex dynamic environment are significantly improved.

The invention provides a service strategy processing method and device based on a large model, electronic equipment and a medium, and relates to the technical field of intelligent services and other artificial intelligence. According to the specific implementation scheme, personalized information of a consultation subject is obtained; based on the personalized information of the consultation subject, a pre-trained consultation subject model and a pre-trained service subject model, obtaining a service strategy provided by a service subject for the consultation subject by adopting a strategy search module; the consultation subject model and the service subject model are implemented based on a large language model. According to the technology disclosed by the invention, the accuracy of the service strategy adopted when the service main body provides the service for the consultation main body can be improved, so that the quality of the service provided by the service main body for the consultation main body can be effectively improved.

This application discloses a control method, related devices, and storage medium. The method includes: a control center acquiring network information; the network information including at least one of the following: service control requirements; service operation status reports; control requirements for devices in the network; and operation status reports for devices in the network; and controlling the network to update service policies based on the acquired network information.

Embodiments of the present application provide a method and apparatus for implementing an application service in service function chain pseudo-proxy networking. In the present embodiment, a switch is deployed between an SFF and an SF, the switch and the SF are configured to support multiple VLANs, different VLANs supported by the SF are associated with a corresponding virtual system Vsys on the SF, and a corresponding application service policy is configured for the virtual system Vsys; a packet sent by the SFF to the SF by means of the switch carries a VLAN identifier; the SF, on the basis of the VLAN identifier carried in the packet, determines a virtual system Vsys associated with a VLAN corresponding to the VLAN identifier, and executes corresponding service processing on the packet according to an application service policy corresponding to the virtual system Vsys. Thus, by means of multiple VLANs and a virtual system Vsys being combined on an SF, different application services can be provided on the same SF, reducing networking costs, and also increasing the resource utilization of the SF.

Provided are a method, apparatus, and system for providing DW services to users and UE. A first apparatus such as CMF may send the one or more UE DW service policies to the UE and obtain the acknowledgment from the UE, thus the UE and user may be aware of DW service (s) provided by the network and may select which DW service to use. By using this solution, the network may easily inform the UE of the DW service so that UE may select which DW service to join or use, such as collecting data and controlling functions of some devices. In this way, UEs may participate in DW services in a more convenient way, which improves the overall network performance.

Methods, apparatuses, and computer readable media for quality-of-service policies in wireless local area networks. Apparatuses of a station (STA) are disclosed, where the apparatuses comprise processing circuitry configured to encode for transmission to an access point (AP) a quality of service (QoS) query frame and decode a QoS request frame from the AP, the QoS request frame indicating a plurality of QoS policies offered by the AP. The processing circuitry may be further configured to encode for transmission to the AP a QoS response frame, the QoS response frame indicating a status of a QoS policy of the plurality of QoS policies. Apparatuses of the AP are disclosed to encode QoS request frames and decode QoS response frames. The AP and STAs implement the negotiated QoS policies by using a QoS WLAN priority based on frames including packets being sent and received from specific addresses.

This disclosure provides data management methods, apparatus, devices, and storage media, relating to the field of computer technology, particularly big data and data migration. The specific implementation scheme involves: confirming the migration progress of object data from the current region to the target region for a set of existing objects; and based on the migration progress, determining a service strategy for the target objects to be processed within the set of existing objects. This service strategy provides the target objects to be processed with a globally unified access domain name consistent with the current region, but with a differentiated access path, to meet the data storage requirements of the target region, regardless of their migration progress. In this embodiment, differentiated access paths are provided for objects based on different migration progresses, thereby providing continuous service to the objects using appropriate access paths and meeting the compliance requirements of the target region.

The embodiment of the invention provides a telephone traffic request processing method and device, equipment, a medium and a product, and relates to the technical field of communication. The telephone traffic request processing method comprises the steps that the current telephone traffic load of a telephone traffic system is acquired, the current shunting proportion between a control group and an experimental group is determined based on the current telephone traffic load, and the higher the current telephone traffic load is, the higher the shunting proportion of the control group in the current shunting proportion is, and the lower the shunting proportion of the experimental group is; based on the current shunting proportion, shunting the current telephone traffic request of the test user to the control group or the experimental group; processing the telephone traffic request in the control group based on the current control group service strategy, and processing the telephone traffic request in the experimental group based on the current experimental group service strategy; and based on the processing effect data of the control group and the processing effect data of the experimental group, determining whether to determine the current experimental group business strategy as a promotion strategy.

Disclosed is a network device (1) for packet switching in accordance with a bounded end-to-end delay. The network device comprises a plurality (11) of n first-in first-out, FIFO, queues, being servable in accordance with a round-robin based service policy and a fixed packet processing time (T). A respective queue of the plurality is associated with a bounded delay (Dmax) depending on the service policy of the plurality of queues and being a function of an adaptable buffer capacity (Be) of the respective queue. The network device further comprises a processor (12), being configured to determine a threshold crossing of an extent of reservation of the buffer capacity of the respective queue; and to adapt the buffer capacity of the respective queue in accordance with the determined threshold crossing. This enables network devices of a network to trade off QoS and capacity locally in a distributed manner, without a centralized controller.