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    QR CODE ACCESS RESTRICTION WITHOUT GEOLOCATION KNOWLEDGE
    2.
    发明公开
    QR CODE ACCESS RESTRICTION WITHOUT GEOLOCATION KNOWLEDGE 审中-公开

    公开(公告)号：US20240362290A1

    公开(公告)日：2024-10-31

    申请号：US18769504

    申请日：2024-07-11

    申请人： Capital One Services, LLC

    发明人： Tam NGUYEN ,  Gerardo FANG ,  Venkata Sudharsan DASA

    IPC分类号： G06F16/955 ,  H04L9/32 ,  H04L67/01 ,  H04L67/146

    CPC分类号： G06F16/9554 ,  H04L9/3228 ,  H04L67/01 ,  H04L67/146

    摘要： Provided herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof for controlling access to a website. In some embodiments, a user scans a machine-readable indicia with their mobile device to access a backend redirect page. The backend redirect page receives the access request, generates a unique session identifier, and configures a dynamic address based on the unique session identifier. The backend redirect page redirects the mobile device to an intake page of a website using the dynamic address for that page. Whenever the user attempts to load a page in the website using the corresponding dynamic address, an intake backend for frontend verifies the validity of the unique session identifier associated with the dynamic address. A session monitor tracks the amount of time since the unique session identifier was generated and invalidates the unique session identifier after a predetermined amount of time has passed.

    System and method for performing automated API tests
    3.
    发明授权
    System and method for performing automated API tests 有权

    公开(公告)号：US12130732B2

    公开(公告)日：2024-10-29

    申请号：US18321689

    申请日：2023-05-22

    申请人： CONCENTRIX CVG CUSTOMER MANAGEMENT GROUP INC.

    发明人： Ramanathan Sathianarayanan ,  Krishna Bharath Kashyap

    IPC分类号： G06F11/36 ,  G06F9/54 ,  G06F16/955

    CPC分类号： G06F11/3688 ,  G06F9/54 ,  G06F16/955

    摘要： A framework and a method for ad-hoc batch testing of APIs are provided, where batches of API calls are dynamically generated directly through the framework according inputs identifying the required tests and the sources of the test data, rather than through execution of prewritten test scripts that explicitly write out the test API calls in preset sequences. When performing the validation for an API test, a test payload is generated for the test, an endpoint is called using the test payload to obtain the response used for validation, where generating the test payload includes determining an API reference corresponding to the test, obtaining relevant data from the test data according to a reference key in the test, generating input assignment operations for one or more input parameters in the API reference according to the relevant data, and generating an API call based on the API reference.

    UNIFORM RESOURCE IDENTIFIER ENCODING
    6.
    发明公开
    UNIFORM RESOURCE IDENTIFIER ENCODING 审中-公开

    公开(公告)号：US20240346101A1

    公开(公告)日：2024-10-17

    申请号：US18753023

    申请日：2024-06-25

    申请人： CoStar Realty Information, Inc.

    发明人： Heidemarie W. Williams ,  Adam Fischer ,  Tod Kuwahara

    IPC分类号： G06F16/955

    CPC分类号： G06F16/9566 ,  G06F16/955

    摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query including search parameters; selecting one or more of the search parameters; for each of the selected parameters: generating a natural language representation of the selected parameter, and determining a rank of the selected parameter among the one or more selected parameters; generating a uniform resource identifier comprising the natural language representations of the selected parameters arranged in an order based on the ranks; obtaining one or more search results identified as responsive to the query; and providing the uniform resource identifier and the one or more search results for output.

    Machine-Learned Classification of Network Traffic
    7.
    发明公开
    Machine-Learned Classification of Network Traffic 审中-公开

    公开(公告)号：US20240346093A1

    公开(公告)日：2024-10-17

    申请号：US18753604

    申请日：2024-06-25

    申请人： Intentsify, LLC

    发明人： Charles Ronald Allieri ,  Marco Lagi ,  Vicent Alabau ,  Enrique Pons ,  Ihab Khoury ,  Caleb Castleberry

    IPC分类号： G06F16/951 ,  G06F16/955 ,  G06F40/279

    CPC分类号： G06F16/951 ,  G06F16/9566 ,  G06F40/279

    摘要： A method includes receiving target input data that includes keyword input data and accessing processed network data that includes a plurality of groups. Each of the groups includes a plurality of URL data objects and is associated with an entity. The method includes generating a dynamic intent score for each group by, for each of the URL data objects, extracting keywords from a webpage associated with the URL data object that are similar to keywords of the target input data, comparing the extracted keywords with the target input data, generating a keyword comparison value for the URL data object, and generating the dynamic intent score based on the keyword comparison values. The method includes ranking the groups according to their respective dynamic intent scores, selecting a subset of the groups according to the ranking, and generating a target account list including the entities associated with the subset of the groups.

    DOC4CODE - AN AI-DRIVEN DOCUMENTATION RECOMMENDER SYSTEM TO AID PROGRAMMERS
    8.
    发明公开
    DOC4CODE - AN AI-DRIVEN DOCUMENTATION RECOMMENDER SYSTEM TO AID PROGRAMMERS 审中-公开

    公开(公告)号：US20240345811A1

    公开(公告)日：2024-10-17

    申请号：US18202756

    申请日：2023-05-26

    申请人： Oracle International Corporation

    发明人： Arno Schneuwly ,  Saeid Allahdadian ,  Pritam Dash ,  Matteo Casserini ,  Felix Schmidt ,  Eric Sedlar

    IPC分类号： G06F8/36 ,  G06F16/955 ,  G06F40/40

    CPC分类号： G06F8/36 ,  G06F16/955 ,  G06F40/40

    摘要： Herein for each source logic in a corpus, a computer stores an identifier of the source logic and operates a logic encoder that infers a distinct fixed-size encoded logic that represents the variable-size source logic. At build time, a multidimensional index is generated and populated based on the encoded logics that represent the source logics in the corpus. At runtime, a user may edit and select a new source logic such as in a text editor or an integrated development environment (IDE). The logic encoder infers a new encoded logic that represents the new source logic. The multidimensional index accepts the new encoded logic as a lookup key and automatically selects and returns a result subset of encoded logics that represent similar source logics in the corpus. For display, the multidimensional index may select and return only encoded logics that are the few nearest neighbors to the new encoded logic.

    System and Method for Measuring and Improving Literacy by Deep Learning and Large Language Model Assisted Reading
    9.
    发明公开
    System and Method for Measuring and Improving Literacy by Deep Learning and Large Language Model Assisted Reading 审中-公开

    公开(公告)号：US20240331558A1

    公开(公告)日：2024-10-03

    申请号：US18611932

    申请日：2024-03-21

    申请人： Ruhul Quddus

    发明人： Ruhul Quddus

    IPC分类号： G09B5/06 ,  G06F16/955 ,  G06F40/134 ,  H04L51/02

    CPC分类号： G09B5/06 ,  G06F16/9558 ,  G06F40/134 ,  H04L51/02

    摘要： The method and system described herein provide a novel safe approach to enhancing and measuring the understanding of technical, science or other documents. By identifying difficult concepts and providing additional safety verified resources to aid comprehension, the system enables readers to better understand complex technical documents. The system may be implemented as a web-based application or as a plug-in for existing reading applications and may be customized for specific domains. The system works on existing documents. Content owners do not have to recreate content to fit a new format. The system and method have broad applicability beyond making it easier for students to understand articles. The system may provide feedback to content authors, enable teachers to identify students' effort in reading a document. It can enable businesses to better engage with their customers while reading their existing marketing and technical contents online.