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    NON-OBTRUSIVE MARKUP AUGMENTATION FOR WEBSITE LOCALIZATION
    51.
    发明公开
    NON-OBTRUSIVE MARKUP AUGMENTATION FOR WEBSITE LOCALIZATION 审中-公开

    公开(公告)号：US20230297764A1

    公开(公告)日：2023-09-21

    申请号：US17695107

    申请日：2022-03-15

    Applicant: salesforce.com, Inc.

    Inventor： Marcus Lenzner

    IPC: G06F40/143 ,  G06F40/117 ,  G06F40/106

    CPC classification number: G06F40/143 ,  G06F40/117 ,  G06F40/106 ,  G06F40/40

    Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a non-obtrusive markup augmentation of websites during website localization. A method includes generating a localization descriptor for a localization element on a website, encoding the localization descriptor into unparsed syntax in code for the website, adding pseudo tag notations to the localization descriptor encoded in the unparsed syntax, extracting text that is being localized from the localization descriptor by identifying the pseudo tag notations, and creating a visual indicator for display as an overlay outside a visible area of the website to indicate a change in appearance of the website after localization, wherein a size of the visual indicator is scaled to match a size of the text as displayed in the visible area of the website when the code is rendered.

    AUTOMATIC GRAPHQL DATA SOURCE FIELD CHANGE HANDLER
    52.
    发明公开
    AUTOMATIC GRAPHQL DATA SOURCE FIELD CHANGE HANDLER 审中-公开

    公开(公告)号：US20230289339A1

    公开(公告)日：2023-09-14

    申请号：US17689601

    申请日：2022-03-08

    Applicant: salesforce.com, inc.

    Inventor： Gaurav SAGAR

    IPC: G06F16/242 ,  G06F16/25

    CPC classification number: G06F16/2448 ,  G06F16/252

    Abstract: A GraphQL server stores schemas for GraphQL APIs in a schema store, the schemas defining operations, types and fields of the APIs. Field resolvers are associated with the fields of the APIs to specify which of the data source is to be used to fulfill an API query request. When an event is detected that makes changes to a schema of any of the data sources, the schema store is accessed and an old field name is automatically replaced with a new field name in both the retrieved schemas and the field resolvers mapped to the retrieved schemas. Responsive to receiving an API request, it is determined whether the request has any field names that do not match the corresponding schema, and if so, the old field name is replaced with the new field name in the request.

    Private communication service in a public cloud environment
    53.
    发明授权
    Private communication service in a public cloud environment 有权

    公开(公告)号：US11757845B2

    公开(公告)日：2023-09-12

    申请号：US17085169

    申请日：2020-10-30

    Applicant: salesforce.com, inc.

    Inventor： Ashley Ryan Flavel ,  William Lui ,  David Lucey

    IPC: H04L29/06 ,  H04L9/40 ,  H04L43/08 ,  H04L43/12

    CPC classification number: H04L63/04 ,  H04L43/08 ,  H04L43/12 ,  H04L63/10

    Abstract: A private communication set-up service enables scalable private connectivity between producers and consumers residing within a public cloud environment. A producer exposes metadata information about a new or updated resource within the public cloud environment using a tag. The system monitors the public cloud environment for tagged metadata about new resources and configures a producer-side service to a private link. Subsequently, the system exposes metadata information about the private link. The system monitors for tagged metadata about private links and configures the consumer-side private link endpoint to the private link. The producer and the consumer communicate using the configured private link.

    Adaptive field-level matching
    55.
    发明授权
    Adaptive field-level matching 有权

    公开(公告)号：US11755582B2

    公开(公告)日：2023-09-12

    申请号：US16862667

    申请日：2020-04-30

    Applicant: salesforce.com, inc.

    Inventor： Arun Kumar Jagota ,  Ajitesh Jain ,  Rahul Mathias Madan ,  Shravani Madhavaram

    IPC: G06F7/00 ,  G06F16/2455 ,  G06N20/00

    CPC classification number: G06F16/24558 ,  G06F16/24564 ,  G06N20/00

    Abstract: Adaptive field-level matching is described. A system identifies first elements in a field of a prospective record for a database, and second elements in the field of a candidate record, in the database, for matching the prospective record. The system identifies features corresponding to any of the first elements that are identical to any of the second elements, any of the first elements that are absent from the second elements, and any of the second elements that are absent from the first elements. A machine-learning model uses the features to determine a field match score for the candidate record's field. Another machine-learning model weighs the field match score and weighs another field match score for another field of the candidate record to determine a record match score for the candidate record. If the record match score satisfies a threshold, the system identifies the candidate record as matching the prospective record.

    System and methods for training task-oriented dialogue (TOD) language models
    57.
    发明授权
    System and methods for training task-oriented dialogue (TOD) language models 有权

    公开(公告)号：US11749264B2

    公开(公告)日：2023-09-05

    申请号：US17088206

    申请日：2020-11-03

    Applicant: salesforce.com, inc.

    Inventor： Chien-Sheng Wu ,  Chu Hong Hoi ,  Richard Socher ,  Caiming Xiong

    IPC: G10L15/18 ,  G10L15/06

    CPC classification number: G10L15/1815 ,  G10L15/063 ,  G10L15/1822

    Abstract: Embodiments described herein provide methods and systems for training task-oriented dialogue (TOD) language models. In some embodiments, a TOD language model may receive a TOD dataset including a plurality of dialogues and a model input sequence may be generated from the dialogues using a first token prefixed to each user utterance and a second token prefixed to each system response of the dialogues. In some embodiments, the first token or the second token may be randomly replaced with a mask token to generate a masked training sequence and a masked language modeling (MLM) loss may be computed using the masked training sequence. In some embodiments, the TOD language model may be updated based on the MLM loss.

    Cloud storage class-based variable cache availability
    59.
    发明授权
    Cloud storage class-based variable cache availability 有权

    公开(公告)号：US11741050B2

    公开(公告)日：2023-08-29

    申请号：US17162501

    申请日：2021-01-29

    Applicant: salesforce.com, inc.

    Inventor： Venkateswararao Jujjuri ,  Nathaniel Wyatt ,  Jameison Bear Martin ,  Patrick James Helland

    IPC: G06F16/172 ,  G06F16/16 ,  G06F16/182 ,  G06F16/14

    CPC classification number: G06F16/172 ,  G06F16/148 ,  G06F16/156 ,  G06F16/164 ,  G06F16/1824

    Abstract: Techniques are disclosed relating to managing distributed storage of data for various entities according to classifications for these entities. A database node of a distributed storage system may receive, from a first entity of a plurality of entities, a request to store a set of data. The database node may further obtain metadata associated with the first entity, wherein the metadata specifies one of a plurality of classifications for the entities. The database node may provide the set of data to one or more of a plurality of caches for storage. The caches may be located in two or more availability zones and are configured to store the set of data based on the classification for the first entity identified in the metadata associated with the first entity. The database node may also store the set of data in a shared object storage coupled to the database node.

    Detection of anomalous lateral movement in a computer network
    60.
    发明授权
    Detection of anomalous lateral movement in a computer network 有权

    公开(公告)号：US11736503B2

    公开(公告)日：2023-08-22

    申请号：US17013209

    申请日：2020-09-04

    Applicant: salesforce.com, inc.

    Inventor： Anirudh Kondaveeti

    IPC: H04L29/06 ,  H04L9/40

    CPC classification number: H04L63/1425 ,  H04L63/0272

    Abstract: Various embodiments of methods for detecting anomalous activity in a computer network are disclosed. A method includes a computer system receiving an indication of a current session establishing a secure channel to a computing device within a network. The computer system evaluates information relating to the current session, as well as information relating to one or more other sessions. Using this information, the computing system performs monitoring to detect the presence of anomalous lateral movement within the network, for example based on detecting multiple user credentials. Based on the evaluating performed, the computer system generates a score for the current session and reports whether the score is indicative of anomalous lateral movement.

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