562 results about "Service experience" patented technology

The invention relates to the technical field of airport intelligent management, in particular to an airport intelligent operating system, which comprises a multi-modal data acquisition layer for acquiring multi-source data such as flights, passengers and luggage in real time through a heterogeneous sensor network; the intelligent analysis layer processes data by using deep learning and a unique algorithm, and generates information such as flight delay prediction and the like; the collaborative scheduling layer realizes cross-domain dynamic optimization of flight-boarding gate-luggage system-ground service based on digital twinning and multi-agent reinforcement learning; the man-machine interaction layer is equipped with AR navigation and voice interaction equipment and provides personalized services; in addition, a block chain evidence storage module is arranged to ensure that key operation records are safe and traceable, and a federal learning framework realizes multi-airport knowledge sharing and privacy protection; through multi-module cooperation, the airport operation efficiency is improved, the safety is enhanced, the passenger service experience is optimized, many problems faced by traditional airport operation are effectively solved, and the system has remarkable innovativeness and practicability.

A policy determining method is disclosed, and includes: obtaining, based on a digital twin entity, first data and a label corresponding to the first data; and training, based on the first data and the label corresponding to the first data, to obtain an artificial intelligence AI model. The AI model is configured to obtain an air interface access policy and / or a user plane path selection policy of a plurality of terminal devices in a network or in an area. This helps resolve a problem of the air interface access policy and user plane path selection of the plurality of terminal devices in the network or in the area. This can further ensure that network energy consumption is the lowest when overall average service experience of the terminal devices reaches a specific threshold.

The invention discloses a customer relationship management method and system based on big data, and the method comprises the following steps: S1, data collection and integration, S2, data preprocessing, S3, customer portrait construction, S4, customer value evaluation, S5, personalized marketing strategy making, and S6, customer relationship dynamic monitoring and optimization. The customer relationship management system based on the big data comprises a data acquisition interface, a data preprocessing unit, an analysis and processing engine, a strategy execution module and a user interaction interface. Multi-channel, massive and rich data can be integrated through customer relationship management of big data, a detailed and comprehensive customer portrait is constructed through an advanced algorithm, customer values are scientifically evaluated, behavior characteristics, preferences and potential demands of different customer groups are deeply informed, and the customer experience is improved. And personalized marketing strategies and service experiences are customized for all levels of customers.

The invention relates to the field of communication service support systems, and particularly provides a service provisioning process oriented anomaly identification and automatic compensation method and device, service provisioning process modeling is an ordered process chain composed of a plurality of processing nodes, and each node corresponds to a specific service system operation; a unique flow identifier Flow ID is generated for each service instance and used for whole flow state tracking, execution results, state codes and response time information of all flow nodes are recorded in a flow tracking database in real time, and after execution of each node is completed, events are published for other modules to subscribe to, so that an asynchronous observable link is formed. Compared with the prior art, the method can achieve the closed-loop processing of the abnormal process, remarkably reduces the manual intervention rate, improves the business activation success rate and customer service experience, and improves the stability and reliability of a service opening link.

The invention relates to the technical field of data analysis, can be applied to business scenes of financial science and technology, medical treatment and health and the like, and discloses a service processing method and device based on multi-source data fusion, equipment and a medium. The method comprises the following steps: performing anomaly detection, generating an anomaly early warning signal containing an anomaly type identifier and a severity parameter, constructing a feature portrait based on the data and the identifier, inputting an anomaly analysis model to generate an anomaly analysis score, determining a business strategy in combination with the score and the severity parameter, and finally generating a personalized service scheme. According to the method and the system, the heterogeneous data from the multi-source monitoring equipment is integrated and the anomaly detection is carried out, so that the defects of data islands and static evaluation in the prior art are overcome, the risk condition of a customer can be evaluated in real time, and a personalized service scheme can be generated. Through risk assessment and strategy generation, the decision-making efficiency is effectively improved, the service experience is optimized, and the pertinence and flexibility of the service strategy are enhanced.

The invention relates to the technical field of voice recognition, in particular to a voice interaction system and method for customer service based on artificial intelligence, and the system comprises a voice input processing module, an intention classification and routing module, a context dynamic adjustment module, a user behavior learning module, a multi-level intention fusion module and a final result module. According to the method, a multi-dimensional feature system is constructed by extracting tone intensity, speech speed frequency and emotional fluctuation amplitude, intention categories, priority weights and confidence scores are generated to realize accurate acquisition of appeals, and dialogue history, context and emotional change dynamic reconstruction path nodes, switching rules and response time sequences are tracked during interaction. Historical behavior mining preference features, habit fusion intention relevance, emergency calculation of an optimal strategy, construction of service steps, resource allocation schemes and execution timelines, adjustment of an interactive interface, a service process and a feedback mechanism according to multi-dimensional analysis, guarantee of differentiated service experience, and improvement of response accuracy and user satisfaction.

The invention relates to the field of vehicle maintenance, and discloses a vehicle maintenance method and device, computer equipment and a storage medium, and the vehicle maintenance method comprises the steps: collecting vehicle maintenance comprehensive data, carrying out the preprocessing of the vehicle maintenance comprehensive data, obtaining a driving behavior feature set, and analyzing the driving behavior feature set through a supervised learning model; and identifying a driving style, inputting the driving style and the driving behavior characteristics in the driving behavior characteristic set into the time sequence prediction model, obtaining a health assessment index, and generating a personalized vehicle maintenance plan according to the health assessment index in combination with a preset safety priority rule and a cost benefit rule. According to the vehicle maintenance method, the accuracy and timeliness of maintenance decision can be effectively improved, resource waste is reduced, the service life of the vehicle is prolonged, and the service experience of a user is improved.

The invention discloses a service migration method and system based on user trajectory prediction, and relates to the field of service migration in a mobile edge environment, and the method comprises the steps: collecting urban road network data, user historical long-term trajectory data and user short-term trajectory data, and predicting a user future trajectory through an STG-Informer model; judging whether service migration is needed or not based on the distance between the future trajectory of the user and the current edge server; if migration is needed, a target migration node with the optimal comprehensive reputation value is selected according to the future trajectory of the user, the optimal migration path is planned through a graph search algorithm, and real-time migration of the service is achieved; otherwise, merging the trajectory points into the short-term trajectory data of the user along with the movement of the user, re-predicting the future trajectory of the user, and judging whether service migration is needed or not. The method can effectively reduce the service delay and improve the resource utilization rate, is suitable for scenes such as intelligent traffic and mobile edge computing, and provides seamless service experience for users.

The invention provides an electric power customer service semantic analysis method and device based on an AI large model and a medium, and the method comprises the steps: carrying out the slicing of a received electric power consultation text based on a natural language, and obtaining a plurality of consultation text segments; performing semantic relationship analysis on each consultation text fragment based on the semantic understanding ability of the AI large model, and constructing a semantic relationship graph according to the semantic relationship between words in each consultation text fragment; determining a target power business scene associated with each consultation text fragment based on the semantic relationship graph and the power business knowledge graph; performing cross-fragment semantic integration on each consultation text fragment based on the logic relation between the consultation text fragments to obtain a cross-fragment semantic integration text; and outputting a reply text based on the cross-fragment semantic integration text and the target power business scene. According to the invention, the customer consultation can be comprehensively and accurately processed, the efficiency and accuracy of the electric power consultation service are remarkably improved, and thus the service experience of the user is improved.

The invention discloses a work order generation method and device, equipment, a medium and a product, and relates to the technical field of artificial intelligence. The method comprises the following steps: receiving a creation triggering operation of a service work order, and obtaining voice data in a process of serving a user; performing intention recognition on the voice data to obtain a corresponding service intention and a key data set; screening out a target work order template from a plurality of preset work order templates based on the business intention; and performing content filling on the target work order template based on the key data set to obtain a service work order corresponding to the voice data. According to the technical scheme provided by the invention, the work order establishment efficiency in customer service can be improved, the service work order is automatically generated, and the working efficiency of a manual service agent and the service experience feeling of a user are improved.

The invention discloses a large-scale user behavior analysis and dynamic pricing system based on artificial intelligence, which relates to the technical field of intelligent pricing, and comprises the steps of constructing a spatial-temporal characteristic system fusing multi-source heterogeneous behavior data, introducing a time sequence embedding technology of a graph neural network, and constructing a dynamic pricing system. And layering the discriminated semantic feature vector capability by adopting a hierarchical strategy network, and constructing a dual-path dynamic pricing collaborative system of an online collaborative optimization mechanism and an offline collaborative optimization mechanism. According to the method, deep description and dynamic evolution modeling of a user behavior mode are realized, the individuation, the real-time performance and the stability of a dynamic pricing system are effectively improved in combination with a hierarchical strategy network and a double-path collaborative optimization mechanism, more accurate price decision can be realized in a complex and changeable market environment, and the user experience is improved. And the enterprise income capability and the user service experience are enhanced.

The invention discloses a method and a device for determining queuing waiting time of a user, and relates to the field of financial science and technology. The method comprises the following steps: under the condition of user authorization, obtaining to-be-handled service types and age information of N queued users; according to the to-be-handled service type of the user, detecting whether the user has handled a historical service corresponding to the to-be-handled service type; when the business has been handled, determining a predicted business handling duration according to the duration of handling the historical business; when the to-be-handled business is not handled, determining a predicted business handling time length according to a preset handling time length and age information corresponding to the to-be-handled business type; and determining the queuing waiting time of the jth user according to the predicted business handling time of all queuing users before the jth user. According to the method and the device, the technical problems of influence on user service experience and low user service processing efficiency caused by excessive queuing personnel due to difficulty in judging queuing time length by a user because only a queuing serial number is provided during financial institution network service in the prior art are solved.

The invention discloses a multi-mode intelligent customer service interaction method and system combined with computer vision, and relates to the technical field of intelligent interaction.The method comprises the steps that data information of a user is obtained, and the data information comprises image information, voice information and text information; constructing a computer vision model and a natural language processing model; analyzing and processing the image information through a computer vision model, and extracting image features of the user; analyzing and processing the voice information and the text information through a natural language processing model, and extracting language features of the user; and carrying out interactive fusion on the image features and the language features by adopting a multi-modal fusion technology, and automatically generating reply information. According to the fused feature information, the reply for the user is automatically generated, and more intelligent customer service experience is provided; the cross-domain information processing mode not only improves the intelligent degree of the customer service system, but also enhances the interaction effect with the user, and better meets the user demand.

According to the network management intention management method, management device and system, a consumption entity provides a trigger condition related to priority adjustment of an intention to a production entity in an intention creation or modification request message, so that the production entity can automatically adjust the priority of the intention when the condition for triggering the priority adjustment of the intention is met; the priority of the intention can be adjusted in time, and the service experience of clients is guaranteed.

This application provides a communication method and apparatus. The method includes: acquiring multi-domain data information, which includes first data information and second data information. The first data information is data information related to user service experience, and the second data information is data information related to wireless key performance indicators of user services. Based on the multi-domain data information, a digital twin is determined. The digital twin includes entity objects and corresponding attribute information. The entity objects include user entity objects, network function entities, grid entity objects, and service entity objects. The attribute information corresponding to the entity objects includes attribute information of the user entity objects, attribute information of the network function entities, attribute information of the grid entity objects, and attribute information of the service entity objects. The digital twin is used for network optimization. Using this application, a digital twin can be constructed and used for network optimization, thereby improving the service experience.

The invention discloses an e-commerce platform commodity evaluation analysis method based on multi-source data mining. The method comprises the following steps: S1, collecting data of each platform; s2, performing data preprocessing on the text data of the platform; s3, carrying out data analysis on the preprocessed text data, splicing LDA features and BERT features, carrying out standardization, and providing suggestions for commodities through results of sentiment analysis, evaluation clustering analysis and user behavior analysis; and S4, continuously monitoring and optimizing the commodity, and establishing a user feedback mechanism to collect feedback output by the user to the model to guide the optimization direction. According to the method, deeper-level relations and laws among data are mined, and comprehensiveness and diversity of the data are ensured; potential negative evaluation and product problems are accurately found and processed, and targeted improvement is carried out; demands and problems of the user are responded in time, and customer service experience is improved; data analysis and learning are continuously carried out, and precious market and user knowledge is accumulated.

The embodiment of the invention provides an information processing method and device, a storage medium and a program product. In the embodiment of the invention, after the intelligent customer service enters the trusteeship state, the question information and the subsequent question information received within the validity period of the distributed lock are stored in the message queue as a current batch of question information needing delay processing, the delay processing can give real communication feeling to merchants, and the service experience of the merchants is improved. Furthermore, under the condition that timing of the timing task of the message queue is finished, an AI question and answer service model based on artificial intelligence is called to perform unified reply processing on the question information currently needing delay processing in the message queue, so that target reply information corresponding to the obtained question information is sent to a client of a target merchant; and the target merchant can check the target reply information corresponding to each piece of question information, so that manual customer service is replaced, the labor is saved, and the question processing efficiency is improved.

The invention provides a customer service system based on large-model multi-agent. The system comprises a semantic sharing platform, a task scheduling strategy module and a large-model agent module. By rebuilding a customer service system architecture and introducing a large-model multi-agent collaboration mechanism, a customer service system with global semantic understanding and task self-adaption capabilities is constructed, and closed-loop optimization from user intention recognition, task execution to feedback learning is realized by a plurality of agents through division of labor, cooperation and context and knowledge sharing. Therefore, the customer service experience and efficiency are comprehensively improved.

The invention provides a communication method and related equipment, and the method comprises the steps: obtaining a sorting result or priority of a data transmission object according to the remaining duration of the data transmission object, and transmitting data in the data transmission object or allocating resources for the data transmission object according to the sorting result or priority of the data transmission object. According to the method, the remaining duration of the data transmission objects is considered, the sorting result or priority of the data transmission objects is obtained based on the remaining duration of the data transmission objects, and resources are allocated to the data transmission objects or data in the data transmission objects are transmitted on the basis, so that the data needing emergency scheduling can be preferentially sent, and the data transmission efficiency is improved. Business requirements are met, and service experience is improved.

The embodiment of the invention discloses a communication method, which is mainly applied to a scene in which a low power wake up signal (LP-WUS) is combined with a discontinuous transmission (DTX) / discontinuous reception (DRX) of a cell, and is characterized in that the communication method is applied to the scene in which the low power wake up signal (LP-WUS) and the DTX (discontinuous transmission) / DRX (discontinuous reception) of the cell are combined. In the method, the terminal equipment can transmit a third signal in a first activation time period even if the terminal equipment is out of a cell DTX or cell DRX activation time period in the first activation time period activated by a low-power-consumption wake-up signal. Or the limitation of the DTX / DRX of the cell on the transmission signal in the first activation time period corresponding to the wake-up signal is removed, and the power consumption of the terminal equipment, the service experience and the power consumption of the network equipment are considered.

The invention discloses a dialogue state tracking model optimization system and method in an electric power service scene. The system comprises a user interface module, a processing module and a storage module, after complex problems proposed by a user are analyzed step by step through the processing module, the user is helped to deeply understand the problems and find a solution by adopting a step-by-step guiding mode, meanwhile, when a client uses a language for interaction, artificial intelligence voice interaction is used for the user through a voice recognition module in the language processing module, and the user experience is improved. The language used by the user is recognized, the adaptive language is extracted from the storage module through the extraction module, the language of the artificial intelligence voice is switched into the language matched with the user through the switching module, and therefore better and more efficient communication with the user is achieved. The communication efficiency and the service quality are remarkably improved, the communication deviation caused by language differences is reduced, more efficient power service experience is provided for users, and meanwhile the labor cost and the service threshold are reduced.

Provided are a data transmission method, device and system, the method being applied to a receiving device, the method comprising: starting a first timer, the first timer corresponding to a first data bearer; receiving N data from a sending device, the N data belonging to a first data set, the first data set corresponding to the first data bearer, and N being a positive integer; and under the condition that the first timer is overtime, synchronously submitting the N pieces of data. Based on the method and the technical scheme, the receiving equipment needs to synchronously submit the data of the data set corresponding to the first timer under the condition that the first timer is overtime, so that the stability of the transmission delay of the data set is ensured, namely the problem of relatively large jitter of the transmission delay of different data is avoided, the triggering of congestion control operation is also avoided, and the user experience is improved. And the service experience of the user is improved.

The invention provides a communication method and device and a computer readable storage medium, relates to the field of communication, and aims to obtain a personalized package so as to effectively improve the service experience of a user. The method comprises the following steps: a network data analysis function sends multi-dimensional perception data to an operation agent, wherein the multi-dimensional perception data comprises data obtained by carrying out at least one of the following processing on data reported by a plurality of network function network elements by the network data analysis function: network perception processing, user perception processing or service perception processing; correspondingly, the operation agent receives the perception data and generates a personalized package based on the multi-dimensional perception data.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. According to an example of the present disclosure, a method performed by an NWDAF entity in a wireless communication system, the method comprising: receiving, from a PCF entity, a first message requesting analytics of QoS and policy assistance, wherein the first message includes at least one QoS parameter set; and transmitting, to the PCF entity, a second message including the analytics. The analytics include predictions on the QoS and policy assistance associated with the at least one QoS parameter set, and QoS parameters or a policy to apply for a service are based on the analytics.

The invention provides a communication method, a communication device and a communication system. The method comprises the following steps: receiving a first request, wherein the first request comprises a requested QoS parameter; obtaining a sensing map corresponding to a first area where the terminal device is located, wherein the sensing map is state information of an object in the first area obtained through sensing; and judging whether to accept the requested QoS parameter or not according to the perception map and the requested QoS parameter. According to the scheme, the information of the sensing dimension is used as a consideration factor of communication control (such as QoS) of the terminal equipment, that is, whether the requested QoS parameter is accepted or not is judged according to the sensing map, the communication QoS of the service can be optimized, and the service experience of communication is improved.

The invention relates to a flow control method and device based on a dynamic queue weight and a global overflow bucket. The method comprises the following steps: distributing network messages to corresponding message queues according to a preset classification rule; dynamically generating the queue weight of each queue according to the real-time queue state of each queue; calculating virtual completion time of each queue based on the queue weight; determining a target message to be sent according to the virtual completion time; when the number of the tokens in the queue where the target message is located is insufficient, the tokens are called from a global overflow bucket; and sending the target message based on the called token. According to the flow control method and device based on the dynamic queue weight and the global overflow bucket, time delay can be reduced, packet loss can be reduced, the utilization rate of network resources can be improved, burst flow processing can be optimized, real-time service experience can be guaranteed, token waste can be avoided, and queue bandwidth allocation can be balanced.

The invention provides an intelligent reply method for a user service, a medium and electronic equipment, and can input current input information and historical context information of a user into a deep learning model to obtain an identified user intention, and then input the user intention and a question decomposition instruction into the deep learning model to obtain decomposed sub-intentions, thereby improving the user service reply efficiency. Acquiring skill indication information according to the sub-intention, inputting the sub-intention, the skill indication information and the user associated information into a deep learning model to acquire reply content, inputting the reply content and a content retouching instruction into the deep learning model, acquiring the reply content after combined retouching, and feeding back the reply content to the user, so that the user intention can be accurately understood; and accurate reply contents and services related to the business are provided according to the user association information in combination with the user demand, so that the problem that the intelligent customer service cannot accurately reply the intention of the user in combination with the business information in the prior art is solved, man-machine conversation can be more natural, smoother and more concise, and the conversation efficiency and service experience of the user are effectively improved.

The application provides a method and device for switching network slices, applied to the field of network slices. The method can include: a slice selection network element receiving resource information of an original network slice from a network slice management function network element, wherein the resource information of the original network slice includes one or more of the following: performance indicators of the original network slice, alarm information of the original network slice, and an analysis report for the original network slice; then the slice selection network element determines whether to switch a terminal device on the original network slice to a target network slice according to the resource information of the original network slice and a network slice switching strategy, wherein the network slice switching strategy includes a trigger condition for switching network slices, an identifier of the target network slice, an identifier of the original network slice, and an identifier and / or application identifier of the terminal device on the original network slice. Through the application, the service experience after network slice switching can be improved.

Provided are a communication method and a communication device, in a case where a terminal device supports a dual-connectivity capability, a unified data management function network element includes first information in sent subscription data, and the first information can indicate a network supporting the dual-connectivity capability provided for the terminal device. According to the technical scheme provided by the invention, the terminal equipment can select to access a certain network supporting the dual-connection capability according to own service requirements, and compared with an existing scheme of providing all accessible networks for the terminal equipment, the technical scheme provided by the invention saves signaling overhead, ensures the time delay of the service and improves the service experience of a user.

The invention provides a user power consumption business question and answer method and system based on a knowledge graph, and belongs to the technical field of power business handling. According to the method, entity extraction and association are carried out on the historical customer work orders, the historical customer work orders are converted into triples, the triples are stored in the neo4j database to construct the knowledge graph, and business data are effectively integrated to form a structured knowledge system. By means of the constructed common question template and the VSM algorithm, the user question can be quickly and accurately recognized, a Cypher query statement is utilized to efficiently search for question reasons and solving measures in the knowledge graph, finally, an answer text is generated based on an answer text template to be fed back to the user, a work order is sent, efficient circulation from question consultation to service processing is achieved, and the user experience is improved. The quality and efficiency of the power consumption business question and answer service are comprehensively improved, the service process is optimized, and more professional and convenient service experience is provided for the user.