821 results about "Service experience" patented technology

The invention belongs to the technical field of e-commerce, and particularly relates to an e-commerce platform search recommendation and intelligent secretary integrated system, which comprises the following steps of: establishing an accurate user portrait by analyzing behavior data of a user and personalized preference of the user; through a basic search function, a commodity search function, a keyword matching function and an advanced function, a user is helped to quickly find a target commodity; personalized commodity recommendation is provided for the user based on collaborative filtering, and the user experience is improved; a virtual secretary function is provided, and a user is supported to perform natural language interaction; the behavior of the user on the platform is monitored and analyzed in real time, the demand and trend of the user are extracted, and searching and recommendation strategies are optimized; the system supports intelligent interaction of various input modes of voice, texts and pictures, searches commodities through voice or uploads pictures to search pictures through pictures, brings convenient, fast and personalized service experience for vast consumers, and also provides intelligent and efficient operation management for merchants.

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.

The invention provides a smart park optimization method and device based on digital twinning and BIM, and the method comprises the steps: collecting the actual information of a park, and carrying out the preprocessing; based on the configured basic BIM model, integrating the basic BIM model by using actual information; constructing a three-dimensional digital twinborn model, and fusing the integrated BIM model with the three-dimensional digital twinborn model; and analyzing and processing the park operation data by using the current fused three-digit digital twinborn model so as to realize park optimization. The digital mirror image of the smart park is constructed by integrating digital twinning, BIM, Internet of Things, big data, cloud computing, GIS and other frontier technologies, and comprehensive perception, accurate analysis, intelligent decision and efficient management of the park are realized. According to the scheme, the intelligent level, the operation efficiency and the sustainable development capability of the park are improved, and convenient, efficient and intelligent service experience is provided for park managers, settled enterprises and individual users.

The invention relates to the technical field of data matching, in particular to an information matching management system and method for financial marketing platform data, and the system comprises a data acquisition module, a data analysis module, a dynamic adaptation module, a marketing strategy module, an anomaly detection module and a strategy implementation module. According to the method, behaviors and demands of different customer groups can be deeply understood through comprehensive analysis of the market data set and clustering analysis, and such statistical analysis can provide a scientific basis for making a marketing strategy, so that a financial institution can identify and utilize market trends and modes on the basis of data driving; according to the invention, the market change is predicted and quickly responded, and the improvement of the risk assessment result and the anomaly detection capability not only optimizes the resource allocation, but also enhances the control of potential risks, improves the overall efficiency and effect of marketing activities, enhances the accuracy of data-driven decisions, improves the customer service experience and brand loyalty, and promotes the sales growth.

The invention belongs to the technical field of communication, and particularly relates to a directional traffic service guarantee method of a PCC self-intelligence network based on an AI agent. Comprising the following steps: an AI identifies a live broadcast application and issues a policy control and charging PCC rule; service experience detection: the NWDAF receives user flow data, and the NWDAF continuously monitors the experience quality of the live broadcast service; establishing a service awareness baseline: establishing the service awareness baseline for different live broadcast applications through AI learning: based on a user level signing protocol, analyzing experience class data of a service flow in combination with a network element; according to the experience class data analysis result of the service flow, when the service experience index is lower than the service awareness baseline, the definite positioning analysis is carried out, then a dynamic guarantee mechanism is triggered according to needs, and oriented dynamic QoS optimization is carried out on a user network. According to the invention, the problems of network congestion and network resource waste of the PCC self-intelligence network are solved.

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 provides a task execution method based on a large language model and an API gateway system, and belongs to the technical field of artificial intelligence, the ReAct mode and the large language model are combined, the system is endowed with the ability of understanding the complex intention described by a natural language of a user, and complex logic in user requirements can be processed; meanwhile, according to a result returned by the API, result analysis can be carried out, and the result is converted into natural language description which can be understood by a user, so that seamless connection between the user and the API is realized. According to the method, scattered APIs can be effectively and organically integrated to form a unified and extensible API service platform, more intelligent and personalized service experience is provided for a user, the user does not need to have technical knowledge, operation can be completed only by using a natural language to describe requirements, misunderstanding is effectively avoided, and the user experience is improved. And the accuracy and reliability of the system are improved.

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 present application provides a data acquisition method, apparatus and system. The method comprises: acquiring service traffic feature data of a communication service in a physical network, wherein the service traffic feature data is used for describing a transmission feature of a data stream of the communication service in the physical network; and constructing or updating a network twin on the basis of the service traffic feature data, wherein the network twin is a digital expression of the physical network and the communication service, and is used for simulating the transmission of the data stream of the communication service in the physical network. On the basis of the described solution, existing network management data acquisition mechanisms are enhanced, and the network twin is constructed or updated on the basis of the service traffic feature data, thereby facilitating simulation of the transmission of the data stream of the communication service in the physical network, and realizing rapid evaluation of the service experience quality of the communication service and network management in the physical network.

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 relates to the technical field of wireless communication, in particular to a method and system for positioning an interphone in a beacon mode, and the method comprises the following steps: based on radio signal data, analyzing the reflection and scattering characteristics of a signal in various media through simulating the propagation behaviors of the radio signal in various scenes, and obtaining a positioning result of the interphone; and generating a propagation characteristic analysis result. According to the method, propagation behaviors of signals in various scenes are simulated and analyzed, understanding of radio signal characteristics is enhanced, beacon deployment is optimized according to actual geographical and environmental conditions, the signal coverage range and the cost efficiency of beacon deployment are optimized, signals sent by an interphone are collected in real time, and emission parameters are adjusted; the signal definition is optimized, the interference of background noise is reduced, the availability and the safety of the signal are improved, the positioning accuracy and the response speed are improved by calculating the time difference of arrival of the signal in real time and combining multi-device cooperative positioning, and reliable and accurate service experience is provided for a user.

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.

Provided are a handover method and a communication device, which can initiate handover of a user plane bearer of a terminal device according to a notification message for indicating that the terminal device is to be handed over to a target cell, in other words, the handover of the user plane bearer of the terminal device can be triggered by the notification message. Compared with the mode that switching of the user plane bearer of the terminal equipment is initiated after the indication that the terminal equipment successfully accesses the target cell is received, switching of the user plane bearer of the terminal equipment can be executed earlier. And after the switching of the user plane bearer of the terminal equipment is executed, the service data of the terminal equipment can be directly sent to the target access network equipment without being forwarded by the source access network equipment. Therefore, the data in the data forwarding process from the source access network equipment to the target access network equipment can be reduced, the invalid data is reduced, and the service experience is improved.

The invention relates to the technical field of Internet of Vehicles communication, and discloses an Internet of Vehicles data acquisition full-link monitoring method, device and equipment, the Internet of Vehicles data acquisition full-link monitoring method comprises the following steps: firstly, transmitting acquisition data of different link sensors to an upstream data node; the upstream data node sends a monitoring application instruction to the downstream data node through the data bus after receiving the data, and if the downstream data node does not report data receiving state information in time, the system judges that the data is lost, locks data loss time and triggers an alarm signal of data loss of a corresponding link sensor; acquiring a server log of the upstream data node in a target time period according to the alarm signal; and finally, performing fault analysis on the server logs in the upstream data node target time period to obtain a data acquisition full-link monitoring result. Therefore, the stability and reliability of the Internet of Vehicles system are ensured, and better service experience is provided for users.

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.

Provided in the embodiments of the present application are a switching method and a communication device, according to the method of the present application, an access network device can determine to switch from a first interface to a second interface to transmit an uplink data packet from a terminal device according to received first information from a first device, therefore, the service interruption of the terminal equipment caused by blindly switching from the first interface to the second interface to transmit the uplink data packet from the terminal equipment under the condition that the access network equipment cannot identify the data packet transmitted between the terminal equipment and the source network computing power fusion function node can be avoided, so that the service experience of a user is ensured. Wherein the first interface is an interface between the access network device and the source network computing power fusion function node, the second interface is an interface between the access network device and the target network computing power fusion function node, and the first device is a terminal device or the source network computing power fusion function node.

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.