43 results about "Service experience" patented technology

This application provides a communication method, apparatus, and storage medium to better guarantee the user's service experience. The method includes: a network device determining, based on the computing resources of a first cell, whether a terminal device with computing tasks can reside in the first cell; and sending a first message to the terminal device, the first message being used to determine whether the terminal device with computing tasks should reside in the first cell. Correspondingly, the terminal device receives the first message; and if, based on the first message, it determines that it should not reside in the first cell, it reselects to a second cell, where the first cell has insufficient computing resources and the second cell has sufficient computing resources; or, if, based on the first message, it determines that it should reside in the first cell, it accesses the first cell, where the first cell has sufficient computing resources.

Embodiments of the present application provide a multi-agent collaborative processing method, a storage medium and a program product, which first acquires first information input by a user and accurately determines a first agent for core processing, then filters one or more second agents for auxiliary processing based on a preset agent dependency graph, and then formulates a scientific and efficient task execution strategy and collaboratively calls the two types of agents to carry out processing work, and finally outputs second information, which can effectively break the limitations of single-agent serial processing, realize multi-agent division of labor and cooperation, and parallelly promote the task, greatly improve the user information processing efficiency, speed up the message reply speed, and at the same time, rely on the collaborative cooperation between agents to improve the accuracy and comprehensiveness of the processing result, and provide users with a more optimal and convenient service experience.

This application relates to the field of smart property management and discloses a resource scheduling method for smart property management based on deep learning. The method includes: constructing a spatial topology influence map of the target property management area; spatially aligning the multi-source heterogeneous data streams according to the nodes of the spatial topology influence map and generating a sequence of node feature vectors corresponding to each node; inputting the node feature vector sequence into a spatiotemporal influence propagation prediction model; performing spatial feature aggregation on the node feature vector sequence based on the graph attention layer and the static topology constraint parameters in the spatiotemporal influence propagation prediction model to generate a spatiotemporal influence representation characterizing the degree of impact of sudden events on each functional area; predicting the resource demand heat value of each functional area within a preset time period based on the spatiotemporal influence representation to form a resource demand heat distribution; and generating a resource scheduling instruction set based on the resource demand heat distribution. This technical solution improves the user's property service experience.

The specification provides a data processing method and device and a customer service robot, and applies to the technical field of artificial intelligence. The customer service robot monitors ambient sound, and in a case where it is determined that a preset triggering condition is met, acquires and determines a current service type according to first target data of a target customer; determines a matching target processing rule from preset processing rules according to the current service type; acquires and determines whether the target customer has a service requirement according to second target data about the target customer according to the target processing rule; and in a case where it is determined that the target customer has a service requirement, interacts with the target customer according to a preset interaction rule to provide matching service for the target customer. Thus, different service scenarios can be effectively and comprehensively covered, customers with service requirements can be accurately detected and identified, and interaction is actively performed, so that customers can obtain a better service experience.

The application discloses a tunnel flow dynamic scheduling system for small-granularity slice networks and relates to the fields of network slicing and traffic engineering.The application aims to solve the problems of low resource utilization of small-granularity slices and the difficulty of guaranteeing service experience by passive response scheduling in the prior art.The system comprises a small-granularity slice sensing layer, a dynamic strategy engine and a tunnel execution layer.The sensing layer collects queue depth and time delay data of tunnels in real time;the strategy engine predicts congestion based on a prediction model and identifies idle slices to initiate resource lending; and the execution layer dynamically adjusts paths and queue parameters to complete the lending.The application realizes prediction-based active elastic scheduling, significantly improves network resource utilization and guarantees the performance of high-priority services.

The application provides a service experience evaluation method and device, equipment and a storage medium, and relates to the field of information technology. The method is applied to a service evaluation node on the terminal side or the network side, and includes: obtaining first sample data of an intelligent body service, the first sample data including a basic performance index and a corresponding service experience score; determining a target basic performance index according to the first sample data, the target basic performance index being an index in the basic performance index determined based on the basic performance index and the corresponding service experience score; obtaining a first mapping model, the first mapping model being used to determine a user experience index prediction value according to the basic performance index; inputting a statistical value of the target basic performance index into the first mapping model, and outputting a target user experience index prediction value, the statistical value of the target basic performance index being used to represent overall characteristics of the target basic performance index.

A communication method and a communication apparatus. When a reader is implemented by a terminal, if the terminal temporarily loses connection with a network side, for example, due to cell handover, RLF, or the terminal being in a non-connected state, a source access network device or the terminal may send, to a target access network device, information used for determining an A-IoT resource and / or information used for determining a carrier configuration, and the target access network device may configure the A-IoT resource and / or a carrier for the terminal on the basis of the received information, so that the terminal can continue to execute a first A-IoT service, thereby facilitating the continuity of the first A-IoT service, and ensuring users' service experience.

This application provides a communication method and apparatus, relating to the field of communication technology. In this method, an access device determines the service requirements of a first device and, based on those requirements, determines a guarantee strategy for ensuring data transmission of the service. The first device can then execute this guarantee strategy to meet the service requirements, thereby ensuring data transmission and improving the service experience.

The application provides a kind of offshore 5G and self-organizing network fusion communication method and system, belongs to mobile communication technical field, aims at solving the problems of "ping-pong effect", large switching delay, non-optimal relay selection and discontinuous QoS guarantee of traditional dual-mode communication in complex offshore environment.The application calculates connection quality score by comprehensively reporting communication parameters of terminal from network side decision server, and predicts its future trend;According to the key network parameters such as 5G cell load and ad hoc network path hop number, dynamically adjust the switching threshold T1 and T2.When the predicted CQS will cross the threshold, trigger the pre-registration and session pre-establishment operation in advance to realize seamless switching.In the ad hoc network side, the optimal relay node is selected by the algorithm of stability, load and energy, and dynamic updating is supported.By establishing the mapping rule of 5QI and DSCP and being controlled by 5G core network, the end-to-end QoS continuity is ensured.The application improves the intelligent level, link stability and service experience of offshore communication.

This invention discloses a membership big data analysis system and method based on data mining, belonging to the field of membership data analysis technology. The system includes: a data acquisition module, a scene recognition module, a dynamic weight allocation module, a time-series correlation mining module, a feature extraction module, and a feature output module. This invention constructs a membership full-scene data association and fusion framework, dynamically allocates multi-source data weights based on scene correlation, and combines behavioral time-series causal correlation mining to correct analysis biases. It accurately extracts the true needs of members and achieves standardized output, solving the problems of homogenization in multi-source data fusion and the disconnect between time-series features and behavioral intentions in existing technologies. This improves the accuracy and timeliness of membership feature extraction, providing direct data support for personalized service delivery, marketing strategy formulation, and product optimization and upgrading. It helps enterprises optimize resource allocation, improve member service experience and stickiness, and further enhance their market competitiveness and operating efficiency.

The application discloses an output power adjusting method of a wireless charging mobile power supply, the method is executed by a power control module, and the method comprises the following steps: receiving a network quality parameter and a service sensitivity parameter sent by a mobile device; determining a throughput demand level and a time delay sensitivity level based on the network quality parameter and the service sensitivity parameter; receiving a temperature parameter sent by the mobile device; determining a target output power and a power change rate based on the throughput demand level, the time delay sensitivity level and the temperature parameter; and adjusting a current output power to the target output power based on the power change rate. The application can reduce the influence of terminal temperature rise caused by high-power wireless charging and system scheduling fluctuation on communication quality and real-time service experience while ensuring charging efficiency, and improve network stability and user experience in a wireless charging scene.

A communication method and device are disclosed. When the reader / writer is implemented by a terminal, if the terminal temporarily loses connection with the network side, such as during cell handover, RLF, or when the terminal is in a disconnected state, the source access network device or the terminal can send information for determining A-IoT resources and / or information for determining carrier configuration to the target access network device. The target access network device can configure A-IoT resources and / or carrier for the terminal based on the received information, enabling the terminal to continue executing the first AIoT service. This helps to ensure the continuity of the first AIoT service and thus protects the user's service experience.

This invention discloses a government service analysis and management system, belonging to the field of government service management technology. The system includes a user profile construction module, a demand prediction and proactive service module, a data control and permission adaptation module, a process monitoring and root cause tracing module, a policy compliance supervision module, an inclusive service adaptation module, and a central dispatch module. This system improves upon the limitations of existing government service systems' passive service architecture, which is centered on pre-set items, by constructing a user lifecycle profile and a causal inference logic chain for government service needs. It can accurately uncover the inherent causal relationship between user characteristics and government service items, effectively eliminating the interference of pseudo-correlation features on demand prediction, achieving accurate prediction and compliance verification of users' potential service needs. This realizes the transformation of government services from an item-driven "people looking for services" to a demand-driven "services finding people" model, reducing the time and communication costs for the public from the source and improving the government service experience.

This invention relates to a visual topology inspection system for power grids, belonging to the field of power system automation technology. The system includes modules for topology model construction, integrity checking, location relationship checking, connectivity checking, regularity checking, anomaly detection, anomaly location, and outage range determination. By implementing techniques such as visual topology model establishment, visual presentation and inspection of topology relationships, and rapid identification of fault outage ranges based on topology relationships, this invention comprehensively improves the management efficiency and fault handling capabilities of network structures, providing users with a more reliable, efficient, and intuitive service experience.

This invention discloses a method, apparatus, and device for optimizing marine wireless network coverage based on multi-source big data. The method includes: acquiring multi-source marine data; generating a set of measurement reports carrying ship movement trajectory characteristics within a preset time window and spatial buffer; associating the measurement report set with user service data to construct a multi-dimensional feature dataset; identifying weak coverage areas in the marine area from the multi-dimensional feature dataset, and spatially overlaying these weak coverage areas with geographic information data to determine the geographic causes of the weak coverage areas; using the location information, geographic causes, and service experience requirements corresponding to the user service data of the weak coverage areas as constraints, generating candidate optimization schemes using a preset optimization strategy mapping model and verifying them; and outputting the candidate optimization schemes as the final network optimization schemes after successful verification. This method can improve the intelligence and refinement of marine network optimization.

This invention discloses a user allocation method, apparatus, device, and storage medium, relating to the field of computer technology. The method includes: acquiring basic user data and online behavior data of each user in a business scenario according to data acquisition rules corresponding to the business scenario; identifying high-potential users from among the users based on user filtering rules corresponding to the business scenario and the basic user data and online behavior data of each user; and allocating the high-potential users to corresponding offline service terminals based on the user allocation rules corresponding to the business scenario and the service attributes of offline service resources, so that service personnel at the offline service terminals can provide personalized services to the high-potential users. This technical solution achieves service allocation for high-potential users, enabling service personnel at offline service terminals to provide personalized services to high-potential users and improving their service experience.

A communication method, apparatus, and system for improving service experience when a terminal accesses an application. A network management network element receives, from a data analytics network element, first information of an application accessed by a terminal within a first area. The first information includes a quantity of access times and / or service experience for the application. The network management network element determines, based on the first information, to create, within the first area, a first user plane function network element serving the application. The network management network element sends a first message to an application function network element. The first message indicates that the network management network element triggers creation, within the first area, of the first user plane function network element serving the application.

The application provides an optical network communication method and an optical network communication device. In the technical scheme provided by the application, the distance equivalent to the defined pre-allocation delay is less than the distance difference between the nearest ONT and the farthest ONT under the OLT, that is, the logical distance of the optical equipment in the network is adjusted to be less than the distance difference between the nearest ONT and the farthest ONT under the OLT, the window opening time is reduced, the service transmission jitter can be reduced, and finally the user service experience can be improved.

This invention relates to the field of financial customer data management technology, and in particular to a financial customer data management method and system based on big data assessment. This invention combines the financial customer's main attribute data and historical financial transaction data to analyze the potential for triggering claims for the financial customer's goods; it combines the cargo transportation data and transportation route data of the financial customer's associated goods to analyze the risk of abnormal cargo status in the current transportation task; based on the analysis results of the financial customer's potential for triggering claims for the financial customer's goods, and the analysis results of the risk of abnormal cargo status in the current transportation task, it assesses the claim risk of the financial customer's current transportation task; based on the assessment results of the claim risk of the financial customer's current transportation task, it provides a cargo claim warning; thereby improving the accuracy of risk pricing and claims review, effectively reducing potential cargo damage losses and claim costs, and enhancing customer service experience and risk management efficiency.

The application discloses an intelligent scheduling system and method for semantic clustering conversation based on artificial intelligence, relates to the technical field of semantic analysis, and synchronously acquires voice call data and online customer service text flow, adopts an attention mechanism to fuse a joint semantic vector and a user value mapping vector, and generates a context coding vector in combination with a decay factor; an initial topic node is constructed based on the context coding vector, a node weight is dynamically updated through a conversation frequency decay factor, and a topic correlation graph with a weighted edge is generated; for a historical conversation associated with a graph node, a three-dimensional performance model is constructed, a performance score of a customer service reply technique is analyzed, and a knowledge base sorting update is triggered; a value index change rate of a topic node is monitored in real time, when a sudden increase of a high net worth user group associated conversation is detected, a fuse mechanism is automatically triggered and a dedicated agent is dynamically allocated. The application improves the customer service response quality and improves the service experience of users.

This application provides a service experience quality testing method, apparatus, device, and storage medium, relating to the field of information technology. The method is applied to a test node on the terminal side or network side, comprising: sending a test command to a service node on the terminal side, the test command instructing the service node to initiate a test process for a target service on the terminal side, the target service being a network application service on the terminal side; during the process of the service node responding to the test command and executing the test process for the target service, acquiring target test data for evaluating the service experience quality, the target test data including network performance indicators and service performance indicators; and inputting the target test data into a service evaluation model to determine the test values ​​of the target service experience quality indicators.

The application relates to a congestion budget polling method and system based on completion probability, an electronic device and a storage medium, which comprises the following steps: obtaining a task request for a third-party API, generating a global task identifier and initializing a task state record; calculating the completion probability increment of a candidate task in the next scheduling cycle according to the running time of the task in the task state record through a pre-constructed completion time delay distribution model; dynamically determining a global polling budget, a polling probability threshold and a polling cost weight based on the congestion signal of the third-party API, and under the constraint of the global polling budget, screening and sorting the candidate task according to the completion probability increment, the polling probability threshold and the polling cost weight to determine a target polling task and perform a polling operation on the target polling task; while significantly reducing the interface calling cost and network overhead, the success rate and timeliness of task delivery are greatly improved, and the resource utilization rate and user service experience are improved.

The application discloses a virtual digital outbound intelligent customer service system based on generative AI, and relates to the technical field of virtual customer service management.The application solves the technical problems of lack of effective monitoring mechanism for service quality and single encryption processing mode for interactive data.The application monitors the overall state of the intelligent customer service in real time through the calculation of multi-dimensional indexes such as the knowledge anchor point answer rate, semantic ambiguity answer proportion and high-frequency complaint problem correlation rate, so as to facilitate the targeted optimization of the knowledge base, answer template or service process by the management personnel, improve the user service experience and system reliability, generate random modification features for the data packet byte size, dynamically bundle data packets and send them in random order, introduce a random delay transmission strategy, effectively interfere with the analysis of the traffic characteristics by attackers, prevent data eavesdropping and content tampering, and guarantee the safety and privacy of the user interactive information in the transmission process.

The application is suitable for the field of computers and provides an e-commerce data processing method and system.The method comprises the following steps: when it is detected that the data of the same kind of goods in a certain consignee region meets a quantitative condition, a goods near-range disposal service option is executed; the data of the goods of the users under the selected goods near-range disposal service option is counted, and the associated goods data between at least two goods is generated according to the associated information of the goods data; the associated goods data is shared to the purchase interface of each user corresponding to the at least two goods; when it is detected that there are disposal demands of at least two parties on the associated goods in the associated goods data between the users, qualified detection of the associated goods is performed in a set region in a certain consignee region.The application has the beneficial effect that only the goods near-range disposal voucher needs to be reserved, which is beneficial to shortening the return and exchange period of the users and improving the e-commerce shopping service experience.

This application relates to a communication method and device. The method includes receiving a first traffic flow and sending the first traffic flow by using at least two QoS flows. The first traffic flow corresponds to an application transmitted by using the at least two QoS flows. For example, different QoS flows may be used to transmit data packets of different importance degrees. In this way, the data packets of different importance degrees can be separately controlled, for example, sending of a more important data packet is preferentially ensured, to improve transmission reliability of these data packets, and ensure service experience of a user.

This application discloses an intelligent operation and maintenance control method and apparatus for a core network, relating to the field of operation and maintenance technology. The method includes: in response to detecting an anomaly in the core network, identifying at least one target network element in the core network with the anomaly; obtaining target state data corresponding to the target network element, the target state data including at least one of: network fault level corresponding to the target network element, the value of at least one performance indicator, and service experience difference values; based on the target state data, using a reinforcement learning model, determining the target operation and maintenance action required by the target network element, the reinforcement learning model including the mapping relationship between different state data and operation and maintenance actions; determining the feasibility result of the target network element executing the target operation and maintenance action; and in response to the feasibility result indicating that the target network element is suitable for executing the target operation and maintenance action, controlling the target network element to execute the target operation and maintenance action. This application can perform operation and maintenance processing in a timely and effective manner when anomalies occur in the core network.

A communication method and a communication apparatus. In a wireless access and backhaul-mobile terminal (WAB-MT) handover scenario, before a WAB-MT is handed over to a target backhaul-related RAN node (target BH-RAN-NODE) or during the handover of the WAB-MT, the target BH-RAN-NODE may acquire information of a wireless access and backhaul-next generation NodeB (WAB-gNB) bound to the WAB-MT (e.g., acquiring the information by means of a handover request), or the WAB-gNB acquires information of the target BH-RAN-NODE (e.g., acquiring the information by means of a handover command). The WAB-gNB and the target BH-RAN-NODE may establish an Xn interface on the basis of these pieces of information, and perform resource multiplexing by means of the Xn interface. Therefore, resource multiplexing can be performed between the WAB-gNB and the target BH-RAN-NODE as early as possible, so as to reduce interference and service experience degradation that may occur during WAB-MT handover, thereby ensuring the communication efficiency.

The application provides a multi-channel conversation context management method and device, electronic equipment and storage medium, in the method, by loading and merging the key fields of the historical conversation metadata object, cross-channel context inheritance is realized, thereby solving the conversation fault problem and ensuring the continuity of service experience when the user switches between different channels; by determining the change set based on field-level hash comparison and pushing incremental data, the traditional full synchronization mode is replaced, and the network bandwidth occupation and data processing overhead of the AI application platform are significantly reduced; by identifying sensitive fields and performing encryption processing, combined with the key destruction mechanism at the end of the conversation, fine-grained security control of sensitive data is realized, and data leakage risks are eliminated; by executing concurrent conflict control and retry mechanism during updating, data coverage and conflict in high-concurrency scenarios are effectively avoided, and the consistency and integrity of the conversation context data are guaranteed.

The application provides a user perception mapping method and system based on a service experience model, constructs a perception anchor point set of service experience features and user perception expressions, wherein the service experience features include service interaction fluency and content presentation fitness, and the user perception expressions are direct feeling descriptions of users on service use. Real-time service interaction data is analyzed for features, and real-time service experience features consistent with the service experience feature types in the perception anchor point set are extracted. The real-time service experience features are matched with the perception anchor point set by calling a service experience model, and a matching result is generated by dynamically adjusting the matching weight through an association reinforcement module. The matching result is used to perform perception expression conversion, and real-time user perception information is formed in combination with a real-time service scene. The real-time user perception information is compared with a preset perception optimization benchmark, and perception optimization guidance including a perception improvement direction and specific service adjustment suggestions is generated to provide accurate guidance for service optimization.