2336 results about "User identifier" patented technology

Various embodiments of the present disclosure provide an interactive map-based visualization system related to multi-channel search for search domains to improve upon traditional search resolutions within such domains. The techniques may include receiving a user interface request that comprises (i) character-level text input related to a search query via a user interface of a user device and (ii) filter metadata for a user identifier associated with the user interface request, generating a set of query result data objects for the user interface request by correlating the character-level text input to at least one domain knowledge profile, and generating a set of filtered query result data objects for the user interface request by filtering the set of query result data objects using the filter metadata. In some examples, the techniques may include initiating a rendering of a set of selectable graphical element options that are correlated to a real-time map visualization.

A method of automated technical support includes receiving a natural-language prompt from a user and a user identifier corresponding to the user, the natural-language prompt including at least one technical support query, querying a first database with the user identifier to retrieve first information, generating a vector embedding representative of the first information and the natural-language prompt, querying a second database using the vector embedding to retrieve second information, and generating a natural-language response text based on the natural-language prompt, the first information, and the second information. The second database is a vector database comprising a plurality of vectors, each vector of the plurality of vectors representative of a text segment of a plurality of text segments, the second information comprises at least one text segment of the plurality of text segments, and the natural-language response text responsive to the at least one technical support query.

Various embodiments of the present disclosure provide access control for data provided by a federated query system based on attributes of a federated query. The techniques include determining a user identifier associated with a federated query, determining a set of access controls for a plurality of third-party data sources based on the user identifier, and generating an execution plan for resolving the federated query via one or more executable tasks with respect to the plurality of third-party data sources. The techniques also include generating, using a first portion of the execution plan, a result set that comprises information aggregated from the plurality of third-party data sources in accordance with the federated query. The techniques also include generating, using a second portion of the execution plan, a user result set that masks a portion of the information for the result set in accordance with the set of access controls.

The invention provides an intelligent advertisement content recommendation method and system applying a prediction model, and the method comprises the steps: firstly obtaining a historical interaction data set of a target user in an advertisement interaction scene, the historical interaction data set comprises a plurality of advertisement interaction sequences composed of user identifiers and the like, and then carrying out the cross-dimension feature fusion processing of the historical interaction data set, generating a combined behavior feature set and an advertisement content association feature set, calling a preset depth prediction model to carry out time sequence dependence modeling on the combined behavior feature set, and obtaining an advertisement content preference prediction result containing click probability distribution and an interaction intention classification label, the method comprises the following steps: selecting an advertisement content preference prediction result, performing dynamic weight matching according to the advertisement content preference prediction result and an advertisement content association feature set, determining a candidate advertisement content priority ranking list, finally pushing an adaptive advertisement content set based on the candidate advertisement content priority ranking list, and updating parameter configuration of a depth prediction model according to real-time feedback data. And intelligent and accurate advertisement recommendation is realized.

The invention discloses a hotel recommendation method and device based on user behavior analysis, and a server side method comprises the steps: receiving a hotel reservation request sent by a client side, wherein the hotel reservation request carries a destination and a target user identifier; obtaining a target travel standard corresponding to the target user identifier; screening hotel data which is within a preset range around the destination and meets a target travel-on-business standard, and generating an alternative hotel set; acquiring historical user behavior data corresponding to the target user identifier before the current moment; based on the user behavior data, fitting a factor change curve graph of a plurality of preset hotel screening factors of a target user to which the target user identifier belongs in a preset period; inputting the factor change curve graph into a pre-trained personal preference prediction model, and outputting a preference keyword sequence; and screening hotels meeting the preference keyword sequence from the alternative hotel set and recommending the hotels to the client. Therefore, by adoption of the hotel recommendation method and apparatus, the recommended hotel can meet the expectation of the user, so that the hotel recommendation accuracy is improved.

An embodiment includes receiving, from a device, at an authentication service, a dynamic user identifier having a one-time password in an authentication message constructed to carry the dynamic user identifier in place of a pre-determined user identifier of a user. The embodiment locates in a profiles database, using a customized search query with a code based on the dynamic user identifier, a user profile. The embodiment receives at the authentication service, a secondary identification data of the user including a biometric information of the user. The embodiment validates the biometric information using the user profile and enables, when the validating is successful, the device to perform an operation. The enabling is not based on the authentication service validating an entirely static user identifier and is not based on the authentication service validating a manually typed password.

A method includes receiving a natural-language prompt from a user and a user identifier corresponding to the user, querying a first database with the user identifier to retrieve first information, generating a vector embedding representative of the first information and the natural-language prompt, and querying a second database using the vector embedding to retrieve second information. The second database is a vector database comprising a plurality of vectors, each vector of the plurality of vectors representative of a text segment of a plurality of text segments, and the second information comprises at least one text segment of the plurality of text segment. The method further includes generating, by a language model executed by the processor, a natural-language response text responsive to the user query based on the natural-language prompt, the first information, and the second information.

Systems, apparatuses, and computer program products are disclosed for authenticating a user using a knowledge factor identification transaction with a challenge authentication token. An example method includes providing a logon request, wherein the logon request comprises a user identifier received from a user. The example method further includes receiving a challenge sequence and generating a password structure, wherein the password structure is based on a static password received from the user and the challenge sequence. The example method further includes generating a challenge authentication token comprising the user identifier, the password structure, and a client timestamp and providing the challenge authentication token. The example method further includes receiving an authorization decision message, wherein the authorization decision message is indicative of whether the challenge authentication token was verified.

A method of automatic pre-prompt generation includes receiving at least one user preference from a user device, modifying a system prompt for a machine-learning language model based on the received at least one user preference to generate a modified system prompt, providing the modified system prompt as an initial input to the machine-learning language model, receiving a natural-language text prompt provided by the user to a chat application on the user device, receiving a user identifier from the user device, querying a first database with the user identifier to retrieve first information, generating a representation of the first information and the natural-language prompt, querying a second database using the representation to retrieve second information, and generating a modified text prompt based on the natural-language prompt, the first information, and the second information.

The embodiments of the present application relate to the technical field of artificial intelligence, and provide an information recommendation method and apparatus, a device, and a storage medium. The method comprises: performing training on the basis of historical user material interaction information to obtain a deep semantic recall model and a deep semantic sorting model; and by means of the deep semantic recall model, recalling a plurality of candidate materials corresponding to a user identifier, and by means of the deep semantic sorting model, determining and sorting preference scores of the plurality of candidate materials and recalled materials of other paths, so as to recommend materials, thereby eliminating dependence on operation experience, and improving the recommendation effect. The training enables the deep semantic recall model to learn the text semantic representation of the user material interaction information, so that when materials are recalled, the literal semantics of the materials is more concerned, thereby improving the accuracy of the recalled materials. The deep semantic sorting model is enabled to learn the behavior semantic representation of the user material interaction information, so that when the recalled materials are subjected to preference scoring and sorting, the user behavior information of the material feedback level is more concerned, thereby improving the user click rate.

Methods, systems, and apparatus, including a method for updating user consent in a verifiable manner. In some aspects, a method includes receiving, from a client device, a request including an attestation token. The attestation token includes a set of data that includes at least a user identifier that uniquely identifies a user of the client device, a token creation time that indicates a time at which the attestation token was created, user consent data specifying whether one or more entities that receive the attestation token are eligible to use data of the user, an action to be performed in response to the request. The attestation token also includes a digital signature of at least a portion of the set of data, including at least the user identifier and the token creation time. An integrity of the request is verified using the attestation token.

Techniques and systems are described that perform automated identification and retrieval of contextual information for quick and accurate processing of user queries by artificial intelligence generative models. The techniques include receiving a natural language (NL) query associated with a user identifier (ID) and obtaining, using a first NL generative model, contextual data that is pertinent to the NL query and is associated with the user ID. The techniques further include generating an augmented NL query that is based on the NL query and the contextual data. The techniques include communicating the augmented NL query to a recipient that includes the first NL generative model, a second NL generative model, or a user session associated with the user ID.

Systems and methods for secure and efficient user authentication on shared mobile devices, such as smartphones and tablets. This solution leverages the capabilities of RFID / NFC cards, access cards, and biometric sensors to establish seamless and personalized user authentication. An authenticator application communicates with a remote authentication service to either register passkeys locally for platform-wide use or forward authentication requests for remote processing, depending on configuration. The authenticator application orchestrates communication between the user, mobile device, and authentication service, creating a secure framework for various applications. Upon successful authentication, the system transforms the mobile device into a platform authenticator, making passkeys available across native apps and browsers. This system enhances security by integrating user identifiers with hosted authenticators that are securely managed by the authentication service. By tapping NFC-enabled cards or utilizing a bridge device for data extraction, users can seamlessly engage with the shared mobile device environment, benefitting from robust security measures associated with FIDO authentication. The system encompasses the bridge device, which serves as an intermediary for data transmission, efficiently communicating between RFID / NFC devices and mobile devices using Bluetooth Low Energy (BLE) technology. Biometric authentication operates similarly to RFID / NFC-based methods, where user identity is verified through an authentication service, and passkey support is provided for that specific user. The authentication service hosts user authenticators and passkeys in a secure, transportable format, configurable to be fetched to shared mobile devices or handled remotely. This system allows adaptable FIDO2 / WebAuthn security protocols across multiple devices, enhancing user convenience while ensuring system integrity and security in shared device scenarios.

The invention provides a post-quantum collaborative signature method and device based on key segmentation and a medium, and relates to the technical field of information security. The method comprises the following steps: acquiring segmentation public keys and segmentation private keys of a plurality of collaborative users; according to the user identifiers of the plurality of collaborative users, respectively calculating binding information of the plurality of collaborative users for the signature fragments of the to-be-sent message; according to the segmentation private key and the binding information of each collaborative user, calculating a signature value of each collaborative user for the signature fragment; generating a target signature of the to-be-sent message according to the signature values of the plurality of collaborative users for the signature fragments; and verifying the target signature and outputting the target signature according to the segmented public keys of the plurality of collaborative users. According to the invention, the security and reliability of the collaborative signature can be improved.

Techniques and systems are described that perform automated identification and retrieval of contextual information for quick and accurate processing of user queries by artificial intelligence generative models. The techniques include receiving a natural language (NL) query associated with a user identifier (ID) and obtaining, using a first NL generative model, contextual data that is pertinent to the NL query and is associated with the user ID. The techniques further include generating an augmented NL query that is based on the NL query and the contextual data. The techniques include communicating the augmented NL query to a recipient that includes the first NL generative model, a second NL generative model, or a user session associated with the user ID.

The embodiment of the invention provides a credit scoring method and device for a credit white user. Wherein the data provider comprises a government affair platform party, a transaction opposite party and a financial institution party, and the user data of the financial institution party comprises a user identifier of a credit white user. And the plurality of data providers align the local user data of each party through a privacy intersection algorithm, so that each party determines the first user data of the aligned credit white user from the local user data. And the plurality of data providers respectively encrypt the local first user data of each party and send the encrypted first user data to the service platform. And the service platform performs secret state model prediction based on a local credit scoring model and the first encrypted user data of each party, obtains a secret state credit score of the credit white user, and provides the secret state credit score to a score user. And the score user decrypts the credit score from the secret state credit score, and determines a risk control decision for the credit white user based on the credit score.

Methods, devices, and systems for digital space management in virtual reality and augmented reality are described. A method can include a terminal that logs in to a preset application based on a first user identifier, presents a first interface, where the first interface includes a virtual space registration option. In response to an enabling operation of a user for the virtual space registration option, the terminal photographs a first scene to obtain a preview stream, obtains a target geometry, and sends the first user identifier, the preview stream, and the target geometry to a server. The preview stream and the target geometry are used to determine a target virtual space in which a user with the first user identifier has virtual content editing permission in a first virtual space. The first virtual space is a virtual space corresponding to a real world including the first scene. The target geometry is used to represent a form of the target virtual space.

The invention relates to a computing power scheduling method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: in response to a target computing power demand initiated by a user identifier, converting the target computing power demand into a first vector; performing vector retrieval on the computing power vector database based on the first vector, and determining a target computing power resource from the computing power vector database; and providing the computing power service of the target computing power resource to equipment corresponding to the user identifier. By adopting the method, the cost of computing power scheduling can be reduced.

The invention discloses a trusted data exchange method and device based on trusted space and a storage medium. The method comprises the steps that a data provider uploads data to a trusted data space; the data supply platform generates a contract, wherein the contract comprises a signing timestamp, a data identifier, a data provider identifier, a data user identifier, a use permission, a service life, a data modification limit and a control strategy; performing Hash encryption on the contract information, and storing the contract information in a target block chain; respectively mapping'points', 'horizontal 'and'interval' in the Morse code into a zero-width non-connector, a zero-width connector and a zero-width space symbol, and converting the encrypted contract identifier into a Morse code format; embedding a zero-width non-connector, a zero-width connector and a zero-width space symbol at random positions of the uploaded data information, wherein the encryption key is generated based on a preset encryption algorithm; and encrypting the uploaded data information by using the encryption key.

The present disclosure is directed to servicing audiences based on object preferences displayed by the audience. The method includes receiving, by a first party computing system, a user communication from a user device associated with a user. The user communication includes a sensor identifier and a user identifier. The sensor identifier corresponds to a physical device associated with at least one item. The method include determining a user-item association based, at least in part, on the sensor identifier and the user identifier. The method includes determining an item interest level for the at least one item based, at least in part, on the user-item association. And, the method includes initiating an action based, at least in part, on the item interest level.

The invention discloses a user management notification method and device for a graph database document site, and belongs to the technical field of graph databases. The method comprises the steps that a pre-configured target notification group name set is acquired, and a target notification group is associated with the access permission of the graph database document site; capturing an administrator event, and identifying whether a current event is an association creation event for adding a user into a user group; in response to the event identified as the association creation event, analyzing the event data, extracting a group identifier and a user identifier, and querying group attribute information according to the group identifier to obtain a group name; if the obtained group name belongs to the target notification group name set, querying user attribute information according to a user identifier to obtain a user name and user contact information; and constructing a notification message containing the user name and the name of the target notification group to which the user name joins, and sending the notification message to the user. The permission change notification can be automatically sent to the user when the administrator allocates or modifies the permission for the user.

The embodiment of the invention discloses a job task scheduling method and system based on a computing power resource pool. The method comprises the steps of obtaining a target user identifier and a target scheduling mode through a computing power application portal subsystem, and determining a candidate computing power resource pool partition and a target computing power quota based on the target user identifier; if the target scheduling mode is detected to be a query scheduling mode through the computing power application portal subsystem, obtaining a target job task and a target job demand; performing partition screening on the candidate computing power resource pool partitions based on a target job demand through a computing power scheduling subsystem to determine a target computing power resource pool partition; and controlling the target computing power resource pool partition to execute the target job task based on the target computing power quota through the computing power base platform. Through the technical scheme of the embodiment of the invention, the job task can be quickly and accurately scheduled to the effective computing power resource pool, and the scheduling flexibility and the user experience are improved.

The invention discloses a short video automatic generation method and device based on a new media content creation model, and a server side method comprises the steps: receiving a short video generation request sent by a client side, wherein the short video generation request carries a video production description text and a user identifier; inputting the video production description text into a pre-fine-tuned large language model, and outputting video production scheme information; searching temporary video materials and system materials uploaded by the user from a BI system through the user identifier; under the condition that the temporary video material is not empty, inputting the video production scheme information, the temporary video material and the system material into a video generation model; or under the condition that the temporary video material is empty, inputting the video production scheme information and the system material into the video generation model; and outputting the target short video, and sending the target short video to the client. Therefore, by adopting the embodiment of the invention, the generated short video can show rich layering sense and emotion tension, so that the quality of the short video is improved.

The invention discloses an access authority management method and device, equipment and a storage medium, and relates to the technical field of information security, and the method comprises the steps: splitting the authority of an original superuser of an operating system through a minimum authority principle to construct a three-authority split model, and determining a security policy rule by using a policy model in a TE security model; performing user name login authentication, role switching authentication, user identifier permission authentication and biological feature identification authentication on the user information, and determining and recording an initial access permission corresponding to the obtained target permission user by using the three-right discrete model and a block chain technology; when it is monitored that the target permission user uses the initial access permission, identity verification and permission check are conducted on the target permission user through the zero-trust security model; and if the check result does not pass the representation, adjusting the initial access permission by using a machine learning model and a system environment to obtain a target access permission. The complexity of authority management is reduced; and the system security is improved.

A method for a system includes receiving with a first transceiver of a first smart device, an advertisement signal from a stationary beacon, outputting with the first transceiver of the first smart device, a first ephemeral ID that is not permanently associated with the first smart device, to the stationary beacon, receiving with the first transceiver of the first smart device, a beacon identifier from a stationary beacon, outputting with a second transceiver of the first smart device, the first ephemeral ID, a first user identifier and the beacon identifier to an authentication service, storing in an association log in the authentication service, the first ephemeral ID, the first user identifier and the beacon identifier, and storing in a beacon log in the authentication service, a log of the stationary beacon including the first ephemeral ID.

A method includes: receiving an access request for a database, the access request carries a user identifier of an access party and a data processing instruction; when specified data and / or target data are subset data in encrypted data, querying an authorization information table in the database based on the user identifier of the access party to detect whether the access party is an authorized user for the specified data and / or the target data; detecting whether the subset data belongs to subset information in the specified data and / or the target data that does not require authorized access when the access party is not the authorized user for the specified data and / or the target data; and when the subset data belongs to the subset information that does not require authorized access, executing the data processing instruction to obtain target data, and returning the target data in response to the access request.

This disclosure relates to data security and cryptography. In one aspect, a method includes updating a user interface of a client device to present user interface controls that enable a user to specify data privacy settings that define how entities collect, store, and use data of the user. The data security system receives a request to modify a data privacy setting for one or more entities from the client device based on user interaction with one or more of the user interface controls. The request includes an ephemeral user identifier for the user and an attestation token. The data security system validates the request using at least the ephemeral user identifier and the attestation token. The data security system transmits data instructing the entity to modify usage of the user data based on the modified given data privacy setting to each of the one or more entities.

A method that includes receiving a first configuration and a second configuration that define a set of rules for matching and merging a set of source data objects that are associated with a tenant and that are received from a plurality of data sources. The method may further include generating a set of merged data objects from the set of source data objects based on an identification of matching values from fields of the set of source data objects and selecting a value for each field of each merged data object having multiple values. The method may further include generating a mapping between primary keys associated with each merged data object and corresponding primary keys of the source data objects. The method may further include storing the merged data objects and the mappings in a first datastore and a second datastore that is different from the first datastore.

Embodiments described herein provide systems and methods for secure and efficient user authentication across a variety of computing devices, such as desktops, laptops, smartphones, and tablets across operating systems such as Windows, MacOS, IOS, Android, and iPadOS. The system incorporates an authenticator application configured to communicate with internal or external user identifier scanners, such as RFID / NFC readers, fingerprint scanners, facial recognition cameras, and QR / Barcode scanners, using transport protocols like USB, BLE, or NFC. The authenticator application serves as a third-party passkey provider by interfacing with platform WebAuthn APIs, enabling WebAuthn-based authentication for native applications, browsers, and services, or alternatively as a browser extension, intercepting WebAuthn API calls directly within a browser environment. An authentication server, accessible over a network, verifies user identities by mapping unique identifiers to stored authenticators and requesting additional authentication factors as needed, such as a security PIN. Upon successful authentication, the server transmits passkeys and a session token to the authenticator application, enabling it to handle further authentication requests locally. The system supports advanced session management for shared device environments, allowing configurable passkey storage with options for one-time, time-based, or shift-based expiration, automatically clearing passkeys upon session completion. This design delivers a versatile, secure, and seamless authentication experience across diverse user environments.

An application device sends a key request packet to a quantum device, where the key request packet includes a user identifier corresponding to the application device, a first public key, and a first message authentication code value. If verification performed on the first message authentication code value succeeds, the quantum device sends a key response packet to the application device, where the key response packet includes a first ciphertext and a second message authentication code value. If verification performed on the second message authentication code value succeeds, the application device decrypts the first ciphertext by using a first private key, to obtain quantum key information allocated by the quantum device to the application device. The first public key and the first private key are from a key pair obtained by the application device by running a post-quantum key generation algorithm.