1589 results about "Service provider" patented technology

There are provided systems and methods for a fine-tuning system for large language models trained for open-ended domain-specific tasks. An online transaction processor or other service provider may provide computing services and platforms to entities, which may include chatbots, information retrieval systems, question-and-answer systems, and the like. To provide better LLM training and fine-tuning, which may improve LLM performance in answering users' questions in an automated manner, the service provider may implement a fine-tuning system that may utilize automated annotations of training data, such as query and response pairs. An LLM may be prompted to determine an annotation to such pairs, and the annotations may be used to label the training data. A fine-tuning system and operations may then be implemented to fine-tune the LLMs using different processes including question-answering, retrieval augmented generation, or a continuous fine-tuning based on a size of the training data.

An apparatus, including a computer including a database which stores a controllable healthcare record and information contained in a master records file, and a distributed ledger and Blockchain technology system. The apparatus facilitates a video call between a user device and a provider device. The computer, after processing information for updating the controllable healthcare record, processes information for identifying a plurality of electronic records for the individual and a second healthcare provider associated with each electronic record. The computer updates each of the plurality of electronic records, and generates a record update message. The computer transmits the record update message to each of a plurality of second provider devices associated with each second healthcare provider. Information regarding the update to the controllable healthcare record and the update to each of the second records is stored in the distributed ledger and Blockchain technology system.

Methods, systems, and devices for wireless communications are described. A first network entity of a first service provider may obtain, from a first user equipment (UE), an invite message for initiating a call between with a second UE that includes an identity associated with the first UE and an authorization server. Based on whether the first UE is subscribed to a third-party information service, the first network entity may obtain third-party information from the authorization server. The first network entity may output the invite message to a second network entity of a second service provider, where the invite message output by the first network entity includes the third-party information in accordance with whether the third-party information is obtained. Based on whether the second UE is subscribed to a third-party information verification service, the second network entity may verify the third-party information and output the invite message to the second UE.

A technique for resource allocation estimation for media content items is described. In accordance with the described techniques engagement by a set of user accounts with respective media content items of at least one media content service provider system is obtained. The media content service provider system and / or a payment service system generates historical streaming data for the respective media content items based on the engagement of the set of user accounts. An estimated streaming count of a media content item over a time period based on the historical streaming data for the respective media content items is determined. An estimated resource allocation for the artist is determined based on the estimated streaming count and an advance of funds is facilitated based on the estimated resource allocation to an account of the artist during the time period.

The invention provides a credible identity authentication method and system with privacy protection and traceability, and the method comprises the steps: S1, defining roles in an identity authentication process and a supervision traceability process and the function division of each role, including a user, a registration organization RA, a certificate issuer Issuer, a service provider SP and a supervision committee RegComm; s2, realizing an identity authentication process through a real name authentication verification process, an anonymous identity certificate signing and issuing process and a user identity authentication proving process; wherein in the anonymous identity certificate issuing process, a certificate issuer Issuer issues a verifiable anonymous identity certificate to a user through a formula according to a real name authentication verification result of a registration authority RA; and S3, realizing a supervision and tracing process through user secret distribution and a user information tracing process. According to the invention, an identity authentication process based on zero-knowledge proof and verifiable secret sharing is realized, a supervision and tracing process is introduced, and practical application requirements of privacy protection and traceability can be met at the same time.

Example embodiments are directed towards an intelligent user interface for interrelated services. The data-rich ecosystem of a telecommunication service provider's wireless network is leveraged in creative and intuitive ways to bring data points to users' fingertips how they need it and when they need it. A single pane of glass is made up of selectable and controllable user interface elements that paint a larger picture together of the telecommunication service provider's network and individual components thereof. For example, the system may electronically provide a plurality of software services, each having a respective user interface (UI), and electronically orchestrate, at a service orchestration layer, the plurality of software services such that when any one service of the plurality of services is used, usage of the one service automatically affects what data is presented or how the data is presented in one or more respective user interfaces of other services of the plurality of services.

Telephone calls can be intelligently delivered with identity attributes as described herein. In one example, a system can receives communication associated with a caller requesting to make a telephone call to a recipient, where the communication includes a recipient identifier associated with the recipient. The system can determine a terminating telecommunication service provider (TTSP) to which the telephone number is assigned. The system can then determine identification options available at the TTSP, where each identification option can be configured to provide one or more identity attributes associated with the caller to the recipient. The system can select one or more of the identification options based on a predefined policy and modify the communication to include the one or more identity attributes associated with the one or more selected identification options, thereby producing a modified communication. The system can then transmit the modified communication along a call route to the TTSP.

The invention relates to a multi-dimensional user grouping matching method and device, equipment and a medium. The method comprises the following steps: firstly, acquiring real-time behavior data, consumption data, interest data, historical conversion data and social media data of a user group, and integrating to form a user feature data set; performing multi-dimensional data fusion and cross-dimensional correlation analysis on the data set to generate a user group feature set; the value weight of the user group is updated based on the feature set, grouping levels are divided in combination with service accuracy requirements, and a dynamic grouping mechanism is constructed; and finally, receiving bidding requests of the service providers, constructing a dynamic bidding model in combination with a dynamic grouping mechanism to calculate bidding scores of the service providers, sorting the service providers according to the scores, and generating an accurate matching result with the target user group. According to the method, the limitation of single-dimensional grouping is overcome, the timeliness and flexibility of grouping are improved, and the accuracy and efficiency of matching between the service provider and the target user group are effectively improved.

Techniques are provided for artificial intelligence (AI) based application error detection and resolution. Extensive amounts of time and resources are consumed by service providers when attempting to resolve application errors experienced by customers. Unfortunately, a service provider may spend tedious amounts of manual effort to evaluate and solve an error that is already known or already solved. The techniques provided herein reduce the amount of time and resources involved in detecting and resolving errors associated with applications. In particular, an error mapping is generated for a current troubleshooting case to resolve for an application. The error mapping is compared to error mappings of previously resolved troubleshooting cases. If a match is found, then a troubleshooting action associated with a previously resolved troubleshooting case is suggested or executed. Otherwise, a service ticket is created for solving the current troubleshooting cases.

In some implementations, the techniques described herein relate to a method including: receiving a data log entry associated with a driver that includes a service provider location and a timestamp; identifying a vehicle associated with the driver based on the data log entry by identifying the vehicle includes applying a machine learning model to the data log entry and a vehicle database; loading a vehicle location log associated with the identified vehicle, the vehicle location log including a plurality of location data points and associated timestamps; computing an alternate data log entry based on the data log entry and the vehicle location log, wherein computing the alternate data log entry includes applying a rule-based optimization algorithm to a historical service provider database; and transmitting a recommendation based on the alternate data log entry, wherein the recommendation includes a geospatial visualization of the alternate data log entry.

The invention provides a high-precision road network topology model construction method based on multi-source data fusion, and belongs to the technical field of traffic transportation information processing, and the method comprises the steps: obtaining traffic industry management data, open source map data and map provider navigation data, carrying out the data fusion, and obtaining fusion data, constructing a topological network to perform validity and connectivity verification, and performing processing by using a fracture stitching algorithm to generate a road network topological structure; inheriting and standardizing attribute fields according to a road section space overlapping relation to obtain a structured attribute set, and optimizing by utilizing a space analysis algorithm and structural logic judgment to obtain an optimized road network topological structure; and combining the structured attribute set with the optimized road network topology structure to obtain a high-precision road network topology model. According to the method, the problem that a set of universal, efficient and iteratively-updated data fusion and topology modeling framework is lacked in existing high-precision road network topology model construction is solved.

The invention provides an inter-micro-service dynamic secure communication method and device based on chaos cryptography. The method comprises the steps that a service provider instance registers a public key and chaos initial parameters to a service registration center; before calling, the service consumer instance acquires a public key and a chaos initial parameter of a target service provider instance from a service registration center; the service consumer instance performs key negotiation with the acquired public key by using a private key of the service consumer instance to determine a shared key; performing key derivation on the shared key and the chaotic initial parameter to generate an initial key; respectively using the initial keys to initialize the chaotic system so as to generate synchronous encryption key streams; and the two communication parties perform real-time stream encryption and decryption on the communication data between the micro-services by using the encryption key stream. The unpredictability of a chaotic system and modern cryptography can be combined, and a micro-service design mode is deeply integrated, so that a lightweight and high-security communication security mechanism which does not need to share a key in advance and can be adaptive to dynamic change of service is realized.

There are provided systems and methods for identifying relevance of documents for automated retrieval models using large language models. An online transaction processor or other service provider may provide computing services and platforms to entities, which may include chatbots, information retrieval systems, question-and-answer systems, and the like. To provide better retrieval model training and refinement, the service provider may generate training data from user interaction logs, which may include user feedback that may be used to determine if documents are relevant to queries, and therefore should be retrieved for answering those queries by automated retrieval models. An LLM may be used as a judge to determine whether chatbot responses reference certain document. If not references, the query may be analyzed to determine whether certain retrieved documents are relevant. Data pairs may be generated for the training data from these processes and used for model refinement.

The present invention relates to methods and apparatus for testing and mitigating problems with Spectrum Access System (SAS) service provider systems. An exemplary method includes performing, by an SAS switch and availability function (SSAF), one or more tests on a first SAS service provider system, the first SAS service provider system providing SAS services to one or more wireless base stations (e.g., CBSDs) of a first wireless network (e.g., a first CBRS network); and determining whether or not the first SAS service provider system is experiencing problems providing SAS services to the first wireless network based on results of the one or more tests performed on the first SAS service provider system. In response to determining that there are problems with the first SAS service provider system switching the one or more wireless base stations to a second SAS service provider system.

There are provided systems and methods for pairwise graph querying, merging, and computing for account linking. A service provider may provide an account graph system to identify pairwise similarities between different accounts based on shared data that may be identified through one or more linking characteristics. When providing pairwise graph similarities, a service provider may receive a query identifying two or more accounts and / or an account with a parameter for graph exploration and querying. The service provider may utilize connection, link, or relationship graphs, queried and generated using a graph database, to determine pairwise similarities between the designated seed account and one or more selected accounts. The graph may include vertices for different queried data points and edges connecting such queries, where directionality of the edges or other vectors may be used to identify links or hops between accounts for data querying and exploration.

A system is provided.SOLUTION: A system including means for a user to input a destination, a departure point, a departure date, a period of stay, a desired transportation means, a condition of an accommodation facility, and a necessity of a rental car, means for collecting information on an optimum transportation means, an accommodation facility, and a rental car based on the condition of the travel from the Internet by using a generated AI, means for analyzing the collected data and generating a cost-effective travel plan, means for displaying the generated travel plan and time sale information of an airline company to a user, and means for communicating with a corresponding transportation means, accommodation facility, and rental car according to the travel plan selected by the user to make a reservation.SELECTED DRAWING: Figure 1

Aspects of the present disclosure are directed to receiving a user phone call and triggering user interactions via an alternative channel in response to the user phone call. Users may call an account service provider with issues related to a user account. To service such a call, the account service provider may prompt the user for information. This information can be analyzed to determine whether the conditions for the user's call are aligned with a shift to a more efficient alternative channel. For example, a guided user workflow via a webpage, application, chat agent, etc. may represent a more efficient deployment of organizational resources. When such conditions are aligned, the account service provider may trigger a selected user interaction workflow for the user call via an alternative channel. The user interaction workflow can comprise a guided workflow that is configured to resolve the user's issue related to the call.

Accuracy, reliability, and response speed improvements for software applications executed by a computing system or platform are provided herein. There are provided systems and methods for multidimensional error causal analysis for error intercorrelations that impact application availability. A service provider may utilize different computing services for data processing to provide different computing services to users, such as via websites and / or applications of the service provider. Due to errors, users may be unable to utilize applications or may face decreased performance and application availability. To improve application performance, error causal analysis may be performed that identifies error intercorrelations that impact application availability and other performance by identifying error effects on each other. Causal statements may be intelligently generated to then identify error intercorrelations. Once generated, these statements may be tested and verified to allow debugging teams and others to fix errors that reduce application performance and availability.

Systems and methods are described for executing tenant artificial intelligence pipelines by dynamically selecting service providers based on resource consumption. A server can poll a group of service providers and receive resource information that indicates compute, network, storage, and token requirements to perform an action. When the tenant AI pipeline executes, a pipeline engine can select a service provider to execute the action based on stored resource information. The service providers available in the group can also dynamically change based on terms of service.

Systems and methods for providing efficient remediations for cloud environment vulnerabilities. The present systems and methods are configured to calculate the most efficient remediations to reduce cloud environments' risks, calculate a cloud environment's biggest risks and weaknesses, and provide a holistic overview of a cloud environment across different service providers. In an embodiment, steps include scanning a cloud environment for posture control data; identifying a plurality of security risk events based on the scanning; calculating a risk score for each of the plurality of security risk events; and determining and recommending one or more remediations based on the risk score of each of the plurality of security risk events and how efficient each remediation is.

The invention relates to a challenge authentication mechanism-based verifiable on-chain data query method, and belongs to the technical field of block chains. According to the method, the maintenance task of the authentication data structure ADS is entrusted to a limited number of service providers from a full node, and the correctness of the maintenance task is ensured by the full node through verification instead of reconstructing the ADS. A mechanism based on challenge authentication is designed, and a service provider extracts on-chain data, constructs an ADS and provides a query service; before a user queries, a challenge node constructs a challenge token containing a known result query expression and sends the challenge token to a service provider, and after the service provider issues a query result and a proof, the result correctness and the proof validity are verified in a full-node manner, so that an attack initiated by a wrong ADS can be detected at an extremely high probability. According to the method, the ADS maintenance overhead is greatly reduced while the correctness of the ADS is ensured, the validity of verifiable query is ensured, and the method has very strong robustness and very high security for adaptive attacks, so that the diversity of query services is effectively expanded.

A system comprises an EV with an infotainment unit, a driver App, an electric mobility service provider (eMSP) cloud and a user charging profile database to identify a Bluetooth® and time / location-based driver charging profile for its automatic selection in a charging session. The driver App is configured to communicate with the infotainment unit via a Bluetooth® interface such that a Bluetooth® MAC address being assigned to each device connected to a network is used to identify a vehicle ID and a mobile device location is used as a proxy for a vehicle location. The eMSP cloud is configured to receive the vehicle ID and the vehicle location. The user charging profile database including user charging profiles. The driver App includes a Bluetooth® plus time-based profile automatic selector for a charging session to automatically select a proper user charging profile based on the MAC address plus a day / time / location-based pre-configuration.

A system and method for strategic airspace deconfliction is disclosed, centered on a Cooperative Multi-Agent Platform (CMAP) embedded within an Automated Data Service Provider (ADSP) operating within a federated Unmanned Aircraft Systems (UAS) Traffic Management (UTM) network. The system's inventive feature resides in a specific technical architecture that synergistically integrates a real-time safety constraint into a strategic negotiation engine. A Regulatory Compliance Monitor (RCM) generates a real-time Conflict Risk Score that is incorporated directly into the Local Observation Vector of a Multi-Agent Reinforcement Learning (MARL) policy network. The MARL engine is thereby configured to select a strategic negotiation primitive (e.g., BID, YIELD, TRADE) that is dynamically determined based on this real-time Conflict Risk Score. This transforms abstract resource allocation into a safety-aware, risk-adaptive protocol, allowing an ADSP agent to maximize fleet efficiency while guaranteeing collective safe separation

Provided is a traffic-aware lightweight layered offloading framework for an adaptive slicing-enabled space-air-ground integrated network (SAGIN), where the adaptive slicing-enabled SAGIN is divided into a communication access platform (CAP) and a computation offloading platform (COP), and resources on each of the CAP and the COP are managed by network slicing; an edge service provider (ESP) provides computation offloading while performing resource allocation; for the resource allocation, a dynamic traffic change is captured by using ProbSparse self-attention, and adaptive network slicing is executed in accordance with predicted traffic and a system load; and for the computation offloading, a communication process and a computation process are separated to allocate a sub-channel as required in accordance with a channel state, then a virtual machine is allocated to a task through a lightweight computation offloading algorithm, and a converged policy is extracted as a lightweight neural network for online inference.

Disclosed herein is a service provider system and method to generate a persona token for a user, store the persona token at a restricted access database, and return a persona token identifier to the user. The persona token is used to generate persona insights, that can be provided to an artificial intelligence / machine learning algorithm along with an inquiry. The algorithm may identify goods or services based on the persona insights. Also disclosed herein are system and methods to attribute a user clicking on a product link, retaining and using the product information to link item level details to purchases, and making a purchase on the linked e-commerce / merchant website such that the originating website knows that a purchase ultimately resulted from the clicked ad.

Techniques are described, as implemented by computing devices, to control access to transactions through use of cosigning based on tokenized reputation scores. This is performed by leveraging a blockchain such that tokenized reputation scores are generated based on amounts of cryptographic reputation tokens associated with blockchain account addresses associated with applicant and co-signer service provider accounts. Transactional functionality is made available to an applicant service provider account having an insufficient tokenized reputation score by using a co-signer service provider account having a sufficient tokenized reputation score to at least partially back an obligation of the applicant service provider for a transaction.

A system and a method are disclosed for a tool that generates a provider score corresponding to a predicted performance of a provider based on data of claims involving the provider. For a given claim, the tool provides the data as input into a supervised machine learning model and receives as output from the supervised machine learning model a predicted performance of the claim. The tool also inputs the data of the claim into an unsupervised machine learning model that is selected based on a stage of claim processing that the claim belongs to and receives as output from the unsupervised machine learning model an identification of a cluster of candidate claims to which the claim belongs. The tool combines the outputs of the supervised machine learning model and the unsupervised machine learning model to generate the provider score.

A method of utilizing a SIM card as a security key for subscriber identity module (SIM) swap prevention is described. The method includes receiving, from a service provider, an initial one-time password (OTP) delivery request comprising an OTP message, a mobile station international subscriber directory number (MSISDN) destined to receive the OTP message, and a SIM indicator associated with the MSISDN; determining, based on the OTP delivery request, a current international mobile subscriber identity (IMSI) associated with the MSISDN; obtaining, from a datastore based on the SIM indicator associated with the MSISDN, an IMSI of record for the MSISDN; comparing the current IMSI associated with the MSISDN and the IMSI of record for the MSISDN; and determining, based on the comparing, whether to deliver the OTP message to the MSISDN or block delivery of the OTP message to the MSISDN.

An apparatus supports smart assistant services with a plurality of smart service providers. The apparatus includes an audio device that receives a speech signal having a user utterance, captures the user utterance when the user utterance includes a user wake word, and sends the captured utterance to a backend computing device. The backend computing device replaces the user wake word with specific wake words associated with different smart service providers. The processed utterances are then sent to selected smart service providers. The backend computing device subsequently constructs feedback to the user utterance based on voice responses from the different smart service providers. The backend computing device then passes a digital representation of the feedback to the audio device, and the audio device converts the digital representation to an audio reply to the user utterance.