66 results about "Service selection" patented technology

A system for affinity-based user acquisition is disclosed. An affinity analysis agent analyzes affinity patterns from existing customers and automatically identifies potential referrals without accessing message content. A relationship mapping agent calculates relationship strength between customers and non-customers based on communication frequency, interaction duration, timing patterns, and automatically finds the high-probability network candidates by scoring these relationships. An outreach and engagement agent creates personalized referral offers using relationship information and delivers them through optimal communication channels at ideal times. When someone accepts a referral offer, a billing integration AI agent may be initiated for automated account creation and service activation through identity verification, service selection, and account activation. Each new individual becomes part of the network. The AI communication agents analyze affinity patterns associated with the new individuals for discovering additional compatible individuals through graph traversal algorithms and centrality analysis.

The invention discloses a cloud service cost optimization and prediction analysis system based on artificial intelligence, and relates to the technical field of cloud service cost optimization, and the system comprises a cost feature deep analysis module which accesses a cloud service full life cycle standardized cost data set, and generates a cost efficiency evaluation matrix and an abnormal attribution report; the multi-modal prediction engine module is used for constructing a multi-scene cost prediction model; the dynamic optimization decision module is used for generating a resource dynamic scheduling strategy, a service type selection optimization scheme and a cost budget dynamic allocation plan, and calculating an expected cost saving rate and a risk coefficient of each scheme; and the closed-loop iteration upgrading module tracks the implementation effect of the optimization scheme in real time and updates the three-dimensional characteristic spectrum and prediction model parameters. According to the invention, through a three-dimensional characteristic spectrum, multi-algorithm fusion prediction, SLA constraint verification and a closed loop iteration mechanism, and by matching with an intelligent interaction visualization and early warning module, intelligent transformation of the cloud service cost from passive accounting to active prediction and from experience optimization to scientific decision is realized.

Disclosed is an autonomous valet parking vehicle, including: a sensor unit configured to obtain image data associated with an environment around a vehicle; a controller configured to control at least one function of the vehicle; a communication apparatus configured to communicate with a server associated with autonomous valet parking; and a processor configured to receive, from the server, a movement request message comprising a control command for at least one of: acceleration, brake, or steering; control, based on the control command, the vehicle toward a service space; identify, based on the image data, a code marker corresponding to service selection information; and control, based on the code marker, an autonomous parking operation of the vehicle to park the vehicle in the service space.

Embodiments of the invention relate to Layer 2 network extensions over Layer 3 networks using packages. Techniques are disclosed for session-based routing within a Layer 2 (L2) network of an Open System Interconnect (OSI) model extended over a Layer 3 (L3) network. In one example, an L2 network connects a first client device to a first router and a second client device to a second router. And the L3 network is connected with the first router and the second router. A first router receives, from a first client device, a non-session-based L2 frame destined for a second client device. The first router forms an L3 packet including an L3 header specifying L3 addresses of the first router and the second router and a protocol of L3 service selection based on the L2 frame, a payload including the L2 frame, and metadata including a session identifier clearly identifying the L2 frame, and forwards the L3 packet to the second router. The second router restores the L2 frame from the payload and forwards the L2 frame to the second client device.

This invention belongs to the field of data processing and group decision-making technology, specifically relating to a social network group decision-making method, method, and apparatus for selecting government services. The method involves acquiring initial preference information of multiple users for multiple government service options, initial trust relationships between users, and attribute information of the government service options; reconstructing a complete global trust matrix through a dynamic trust decay mechanism; dynamically identifying user behavior states into four multi-granularity states; adjusting the aggregation weights of user preferences; obtaining consensus preference values ​​for each government service option; and generating a recommendation ranking or selection result for the government service options.

The application provides an O2O service recommendation method and system based on preference spatio-temporal evolution analysis, a storage medium and an electronic device, and relates to the field of O2O service recommendation.In the application, firstly, an O2O consumer set, an O2O service set and a service category set are acquired, and a service score matrix and a service category matrix are constructed;then, based on the preference changes of consumers in service selection, evaluation and selected service geographic location, three different dynamic similarities are acquired;then, different dynamic similarities are fused to acquire a dynamic preference similarity;finally, for a target consumer, the dynamic preference similarity is used to sort its neighbors, and the priority of O2O service is recommended.Based on the spatio-temporal evolution of the preference of the consumer, the dynamic similarity is proposed, which more accurately measures the relationship between the consumers, thereby improving the recommendation performance of the O2O service.The experimental results show that the proposed dynamic similarity has high accuracy and can effectively reflect the strong consumer relationship.

Disclosed is an automatic valet parking vehicle including: a sensor unit configured to acquire image data related to an environment around the vehicle; a controller configured to control at least one function of the vehicle; a communication device configured to communicate with a server related to automatic valet parking; and a processor configured to receive a movement request message from a server, the movement request message including a control command for at least one of acceleration, braking, or steering; controlling the vehicle to drive to the service space based on the control command; identifying a code marker corresponding to the service selection information based on the image data; and controlling an automatic parking operation of the vehicle based on the code marker to park the vehicle in the service space.

1. The name of the design product: intelligent points exchange retail all-in-one machine (V1.1). 2. The use of the design product: the device realizes one-stop exchange of integral goods or purchase of retail goods through integral recycling, self-service selection and purchase, and interactive function. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 2.

The present disclosure provides a method, system, electronic device, and computer-readable storage medium for service function organization to solve the problem of service functions not being divided when processed by a server. The method includes the steps of receiving a traffic request from a client, including a service desired by a user; dividing a divisible service among the user-desired services based on the traffic request to obtain a plurality of divided sub-services; selecting resource nodes to provide services for the divided sub-services and the indivisible service among the user-desired services, respectively; generating traffic paths based on the selected resource nodes; and configuring related network devices based on the traffic paths to cause the resource nodes to provide the corresponding services to clients. The invention disclosed herein can divide services and effectively improve the efficiency of service processing.

A method, an apparatus, and a computer program are described that include receiving a sensing service request for a sensing service from a sensing client of a wireless communication system; selecting a sensing method for the sensing service; selecting sensing devices (including one or more radio access network nodes used for one of transmission and reception of sensing signals and one or more user equipments used for the other of transmission and reception of sensing signals) participating in a sensing service based on the selected sensing method; sending a sensing session setup request to one or more radio access network nodes; and receiving a response to the session setup request, the response including an indication of successful or failed provision of the sensing service.

The application relates to the technical field of mobile communication, in particular to a 5G RedCap terminal device and system, which comprises the following contents: a transmission priority management module, a network environment monitoring module, a network performance analysis module, a performance degradation analysis module and a running mode adjustment module.In the application, the transmission priority of various data packets is adjusted by analyzing real-time device behavior, the utilization rate of network resources and the real-time responsiveness of data transmission are improved, the network settings are dynamically adjusted by using real-time monitoring of network signals and congestion conditions, the network configuration quickly responds to changes in external conditions, the delay and packet loss rate of data transmission are reduced, the adaptability of the network and the user experience are enhanced, the power state of the device is monitored in real time and the running mode is adjusted, the device running settings and power consumption are optimized, the energy consumption is effectively reduced, and the 5G RedCap device is helped to adapt to performance requirements in various application scenarios, and economic and reliable service options are provided for users.

One disclosure of the present specification provides a method of UE communication. The method comprises the steps of: receiving valid time information for a localized service of an SNPN from the SNPN; receiving a registration rejection message or a registration release message; storing the SNPN on a prohibition list based on the registration rejection message or the registration release message; activating a timer based on the valid time information; based on the expiration of the timer, deleting the SNPN from the forbidden list; and selecting a cell for the localized service, in which the network stored on the prohibition list is excluded as a target of cell selection.

The application discloses a deployment method, a system and a storage medium, which comprises the following steps: generating a deployment service package corresponding to a front end and a service end respectively; creating at least one deployment task, wherein the deployment task is used for deploying at least one service; selecting and inputting the deployment service package into the deployment task; and converting the deployment service package in the deployment task into a yaml file mode for service deployment. Through the above method, the deployment environment standardization and the deployment process automation can be realized, the deployment work is greatly simplified, and the deployment efficiency is improved.

An object of a system according to an embodiment is to allow a user to select an optimal matching service and automatically generate an appropriate profile or message.SOLUTION: A system according to an embodiment includes a matching service selection unit, a profile creation support unit, and an automatic message generation unit. The matching service selection unit proposes an optimal matching service on the basis of the user's preferences and past usage history. The profile creation support unit automatically creates a profile based on the basic information, hobbies, and interests of the user. The automatic message generation unit automatically generates a message on the basis of a user's intention or emotion.SELECTED DRAWING: Figure 1

1. The name of the design product: the main body of the electronic device's send service graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the solid line part in the graphical user interface, the part shown by the dashed line does not constitute part of the claimed design. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: to provide send guidance and service selection for customers, the front view of designs 1 and 2 is the send voice input page, after the voice input is completed and the information is recognized, the corresponding design change state diagram 1 is displayed, the change state diagram 1 of designs 1 and 2 is the send requirement confirmation page, clicking "confirm" displays the corresponding design change state diagram 2, the change state diagram 2 of designs 1 and 2 is the information selection page, clicking "first" or "second" any key displays the corresponding design change state diagram 3, clicking "none" or "all" any key of the change state diagram 3 of designs 1 and 2 displays the corresponding design change state diagram 4, the change state diagram 4 of designs 1 and 2 is the information confirmation page, clicking "order now" displays the corresponding design change state diagram 5.

A system includes an article of personal protective equipment (PPE) including a functionality that is selectively configurable using a subscription service. The system further includes a first computing device including a first processor and a second computing device including a second processor. The first processor generates a subscription message including a request to enable the functionality of the article of PPE in response to determining a selection of the functionality. The second processor determines if credentials corresponding to the article of PPE and / or a user associated with the article of PPE are preregistered with the subscription service. The second processor determines a subscription status of the article of PPE corresponding to the functionality. The second processor transmits a configuration message based on the subscription status and preregistration with the subscription service. The first processor enables the functionality of the article of PPE based at least partly on the configuration message.

Selection of network equipment based on delay for delay critical services (e.g., using a computerized tool), is enabled. For example, a system can comprise: a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for respective distributed units of a group of distributed units of network equipment, respective average downlink delays on an F1-U interface applicable to respective centralized unit user planes of a group of centralized unit user planes of the network equipment, and transmitting, to a centralized unit control plane of the network equipment, delay data representative of the respective average downlink delays.

A server apparatus includes a service selection control means and a storage means. The service selection control means enables a user to select a service provider, the service provider being one from which the user desires to receive a service, from among a plurality of service providers that provide services using biometric authentication. The storage means stores information of the service provider that the user has selected. The service selection control means enables the user, at the time of selecting the service provider from which the user desires to receive the service, to distinguish between a service provider that has already been selected by the user and a service provider that has not yet been selected.

To provide a service selection system and a service selection method that reduce burdens of selecting services that perform facility control.SOLUTION: A service selection system that selects microservices for facility operation, includes: a tangible service storage unit for storing tangible services that operate an energy-related facility; a facility information storage unit for storing facility data indicating specification information for a target facility; an operation information storage unit for storing operation data indicating a correspondence between a facility operation content and a processing content required to carry out the operation content; an abstract service storage unit for storing abstract services that execute the operation content indicated by the operation data using the facility indicated by the facility data; and an abstract service execution unit for selecting an abstract service stored in the abstract service storage unit for the facility specified in the facility data and the operation specified by the operation data, based on the operation data in the operation information storage unit and the facility data in the facility information storage unit.SELECTED DRAWING: Figure 1

Systems and methods herein provide a compute engine and its related functions. In an aspect, a compute engine may determine current resources that are provisioned to provide a service within a cloud-based or hybrid environment. The compute engine may determine a provisioning profile for the current resources, including the hardware and software specifications of the current resources. The compute engine may also determine a current utilization of the current resources by the service based on the provisioning profile. Based on the current utilization, the compute engine may determine a current compute landscape including supply data for a grouping of compute configurations. From the compute configurations, the compute engine may select a compute configuration for the service based on the utilization of the current resources and the current compute landscape.

A computer-implemented platform executes digital-item exchanges by dynamically selecting and interacting with third-party service providers. A service selection module continuously gathers real-time metrics (e.g., API response times, availability, price) and feedback metrics (e.g., error rates, user ratings) for each candidate provider and computes two core scores: an overall score, reflecting provider speed, reliability, and reputation, and a pair score, which further incorporates liquidity and price suitability for a specific digital-item pair. Providers are chosen based on the highest pair score for each exchange request, and if an exchange attempt fails, the module automatically recalculates pair scores and retries the request with the next-best provider, thereby ensuring resilience against performance changes.

The invention relates to an expert extraction system for science and technology reward review. The expert extraction system comprises an evaluation-participating enterprise information database, an evaluation-participating expert information database, an enterprise social relation database, an expert social relation database, a random extraction module, an avoidance module and a result display module. According to the method, by optimizing the short-term frequency imbalance problem of the pure random model, the expert reference opportunity is more balanced, and the benefit association experts are intercepted in real time in combination with the dynamic relation graph, so that the extraction fairness is ensured; the mode of self-service extraction and multi-factor authentication is adopted, the tedious links of repeated confirmation and paper signature of traditional manual extraction are broken through, the whole process is in online closed-loop operation, and the operation time is shortened by 90% or above.

The application relates to the technical field of edge computing, in particular to a method for allocating resources of a UAV edge computing network based on a diffusion model, which comprises the following steps: acquiring content generation task information randomly generated by any edge user in a target time slot multi-UAV assisted edge computing network and service selection of the edge user, constructing a system model and a data transmission model corresponding to each service selection; constructing a service selection model and an energy consumption model; determining an overall optimization target based on the system model, the service selection model, the data transmission model and the energy consumption model; constructing an actor network and a target double critic network based on the overall optimization target and the diffusion model; and performing parameter updating on the actor network and the target double critic network to generate an optimal resource allocation strategy. The application can realize efficient resource allocation by using limited network resources.

An intelligent selection method is provided to determine the communication mode when the first service calls the second service in the information system platform to execute a service with multiple tasks. The aforementioned method includes calculating the unfinished workload of the first service's previous call to the second service, and calculating the task-completion time of the most recent work completed by the second service. The aforementioned method includes selecting whether to use the first strategy or the second strategy to communicate when the first service calls the second service, according to the unfinished workload and the completion time. Finally, the aforementioned method includes notifying the first service of the selection result.

The embodiment of the invention provides a customer service allocation method and device, a storage medium and a program product. According to the embodiment of the invention, the method comprises the steps: locking a first target service field from a plurality of service fields according to the multi-dimensional demand information of a target user, and obtaining the first target service field matched with first problem information; furthermore, in a first target service field, service score evaluation is performed on each AI customer service in the field based on information such as knowledge matching degree and service history, and a first target AI customer service is selected from a plurality of AI customer services, so that the first target AI customer service provides customer service for a target user. A two-stage strategy of first customer service shunting and then target customer service selection is adopted, and a candidate scale is reduced from a global state to a local state, so that the calculation amount and the response delay are remarkably reduced; and the target AI customer service is selected from the target service field adapted to the target user demand, so that the service quality and the service efficiency of the customer service are improved, and the use experience of the user is improved.

Various aspects of this disclosure generally relate to wireless communication. Some aspects more specifically relate to the selection and configuration of sensing units (SUs) associated with sensing services. In some aspects, a network function entity can receive a sensing request. The network function entity can use information indicated by the sensing request to determine one or more sensing parameters. In some aspects, the network function entity can use one or more sensing parameters and the sensing capabilities of the corresponding SU to identify or select one or more SUs to fulfill the sensing request. In some aspects, the network function entity can communicate with one or more repositories or network nodes to identify one or more SUs. The network node can use one or more sensing parameters to determine a sensing configuration. The network node can transmit, and the SU can receive, the sensing configuration. Numerous other aspects are described.

The invention relates to the technical field of data processing, and provides a service recommendation method and device, electronic equipment and a readable storage medium. The method comprises the following steps: performing semantic feature extraction processing on a query text to obtain an attribute feature corresponding to the query text; performing adaptive retrieval processing on the attribute features based on the metadata knowledge base to obtain a candidate recommendation list corresponding to the query text; performing aggregation scoring processing on the candidate service list to obtain a recommendation value corresponding to each to-be-recommended service; sorting and pruning the candidate recommendation list based on each recommendation value to obtain a target recommendation list; and service selection calling processing is carried out based on the target recommendation list to obtain the target recommendation service, so that the semantic precision is improved, the recommendation accuracy in a large-scale service scene is improved, the self-healing capability of dynamic faults is enhanced, the service recommendation efficiency is improved, and the robustness and practicability are enhanced.

A computer-implemented platform executes digital-item exchanges by dynamically selecting and interacting with third-party service providers. A service selection module continuously gathers real-time metrics (e.g., API response times, availability, price) and feedback metrics (e.g., error rates, user ratings) for each candidate provider and computes two core scores: an overall score, reflecting provider speed, reliability, and reputation, and a pair score, which further incorporates liquidity and price suitability for a specific digital-item pair. Providers are chosen based on the highest pair score for each exchange request, and if an exchange attempt fails, the module automatically recalculates pair scores and retries the request with the next-best provider, thereby ensuring resilience against performance changes.

Methods and devices for selecting an edge application server (EAS) to service a user equipment (UE). One exemplary method incudes determining that a current protocol data unit (PDU) session of an application being executed by a UE is being serviced by a first EAS, determining that the first EAS is no longer suitable to service the application, selecting a second EAS to service the application and instructing the UE to use the second EAS for future PDU sessions for the application.

This application provides a system and method for online processing of vehicle management office services based on AI-assisted verification and original handwriting electronic signatures. The system includes: a mobile terminal and a PC terminal; the mobile terminal includes a service selection and processing module for receiving user commands to initiate service processing; an identity authentication and facial recognition module for verifying the user's uploaded identity information; a video call request module for establishing encrypted video calls; an original handwriting electronic signature module for enabling handwritten signatures on electronic application forms; a payment and status update module for updating the service status to "paid" after the user completes online payment; the PC terminal includes a video access module for managing video call access and ensuring call quality and reasonable resource allocation; an AI-assisted verification module for automatically classifying, extracting key information, and verifying consistency of user-submitted materials; and a material writing module for writing electronic materials into the six-in-one system. This application effectively solves the problems of cumbersome and inefficient vehicle management office service processes, insufficient online access, difficulty in guaranteeing the authenticity of materials, and non-closed-loop signing processes in existing technologies.