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111.
公开(公告)号:US11997161B2
公开(公告)日:2024-05-28
申请号:US17899284
申请日:2022-08-30
Applicant: Salesforce, Inc.
Inventor: Ahi Kodi , Arun Sathnur
IPC: H04L67/1001 , G06F9/50 , H04L43/0876
CPC classification number: H04L67/1001 , G06F9/5083 , H04L43/0876
Abstract: Methods, computer readable media, and devices for distributing risk of multiple realms across multiple resources based on a realm risk model are disclosed. One method may include determining a time score based on an average response, a traffic score based on an average client request rate, and a risk score based on the time score and the traffic score for a plurality of realms, distributing the plurality of realms across a fixed number of resources based on the risk scores of the plurality of realms, and in response to a change in a risk score of a realm, redistributing the plurality of realms across the fixed number of resources based on a difference between a maximum risk score and a minimum risk score.
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公开(公告)号:US11995140B2
公开(公告)日:2024-05-28
申请号:US17821429
申请日:2022-08-22
Applicant: Salesforce, inc.
Inventor: Vivek Viswanathan , Amol Suresh Hardikar , Karishma Kishore Lalwani , Alok K Patel , Jackson Zee Herrick , Paymon Teyer
IPC: G06F16/9538 , G06F11/07 , G06F11/32 , G06F11/34 , G06Q10/10
CPC classification number: G06F16/9538 , G06F11/079 , G06F11/323 , G06F11/3409 , G06Q10/10 , G06F2201/80 , G06F2201/835
Abstract: Methods, systems, apparatuses, and computer program products are described. A database system may store data logs tracking performance data for multiple tenants of the database system. The database system may receive, via a user interface of a user device, a user input indicating a request to perform an analysis of performance data associated with one of the multiple tenants. The request may indicate a time period and a performance metric for the analysis. The database system may execute a query based on the analysis. The query may execute on a subset of the data logs associated with the tenant and the performance metric. The system may analyze a result of the query to determine one or more entities that affected the performance metric during the time period. The system may transmit an indication of the one or more entities for display at the user interface.
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公开(公告)号:US20240169036A1
公开(公告)日:2024-05-23
申请号:US18056705
申请日:2022-11-17
Applicant: Salesforce, Inc.
Inventor: Alan Davies , Shawn Butterfield , Sai Lakshminaraayana , Ganbaatar Arslanbaatar , Kevin Lun , Jianwu Zhao
Abstract: System and method for managing health and safety protocols for occasions, including validation of health verification requirements, asynchronous communication, and generation of multi-factor health credentials. All components of the system can be configured within an integrated graphical user interface (GUI). These components, or subsystems, include a health verification subsystem to indicate one or more health verification requirements for attending the occasion, an occasion communication subsystem to manage communication with prospective visitors to the occasion, and an occasion access subsystem to generate electronic passes to the occasion for prospective visitors who comply with the health verification requirements. Health information provided by a prospective visitor is verified, a visitor/occasion specific QR code is generated and sent to the visitor in an email message. The configuration data to define the operation of the various subsystems is stored in accordance with a flexible and portable data schema comprising a plurality of interrelated objects.
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公开(公告)号:US20240168956A1
公开(公告)日:2024-05-23
申请号:US18081957
申请日:2022-12-15
Applicant: Salesforce, Inc.
Inventor: Parth Vijay Vaishnav , Mitchell Christensen , Kevin Han
IPC: G06F16/2455 , G06F16/27
CPC classification number: G06F16/24564 , G06F16/273
Abstract: A rules engine (RE) may operate in conjunction with a database providing functionality, such as transactional support in data access environments on behalf of tenants. The database may have a data repository accessible by multiple tenants, and tenants may have a private context. RE rules may be defined in the data repository having an extension point corresponding to an extension defined in the private context. Execution of database functionality may affect data defined in the database. Execution of RE rules corresponding to database functionality affects corresponding data associated with the RE. Various techniques, e.g., fact handles, event listeners, etc. may be used to coordinate tracking and synchronizing changes between RE data and/or the database. A flag or other indicator may signify state preservation between multiple calls to the database and/or the RE, e.g., to support analysis involving transactions having overlapping intermediary results such as results from performing data lookups.
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115.
公开(公告)号:US11989858B2
公开(公告)日:2024-05-21
申请号:US17957545
申请日:2022-09-30
Applicant: Salesforce, Inc.
Inventor: Michael Sollami , Jessica Lundin
CPC classification number: G06T5/50 , G06T7/13 , G06V10/462 , G06T2207/20024 , G06T2207/20221
Abstract: Systems and methods are provided for determining a first upper bound of a x-direction frame margin of a downsampled image and a second upper bound for a y-direction frame margin of the downsampled image. A total value for each row and column of a weighted grayscale image formed from the downsampled image may be determined. An outlier filtering may be applied to the determined total values for each row and column of the weighted grayscale image. A peak of pairwise ratios of consecutive values from left and right sides of the weighted grayscale image may be used to determine an x-margin, and a peak of pairwise ratios of consecutive values from top and bottom sides of the weighted grayscale image may be used to determine a y-margin. Content may be applied to the image based on the determined x-margin and y-margin values to form a composite image.
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116.
公开(公告)号:US20240160917A1
公开(公告)日:2024-05-16
申请号:US18182939
申请日:2023-03-13
Applicant: Salesforce, Inc.
Inventor: Le XUE , Chen XING , Juan Carlos NIEBLES DUQUE , Caiming XIONG , Ran XU , Silvio SAVARESE
CPC classification number: G06N3/08 , G06T19/20 , G06T2210/56 , G06T2219/2004
Abstract: A method of training a neural network based three-dimensional (3D) encoder is provided. A training dataset is generated using a plurality of 3D models of a 3D model dataset. To generate a first sample of the training dataset, an image generator with multi-view rendering is used to generate a plurality of image candidates of a first 3D model. A word is chosen from metadata associated with the first 3D model. A language model is used to generate one or more text descriptions using the selected word and a plurality of prompts. A point cloud is generated by randomly sampling points in the 3D model. The first sample is generated to include a first image randomly selected from the plurality of image candidates, one or more text descriptions, and the point cloud is generated. The 3D encoder is trained using the training dataset including the first sample.
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117.
公开(公告)号:US11983503B2
公开(公告)日:2024-05-14
申请号:US18152304
申请日:2023-01-10
Applicant: Narrative Science LLC
Inventor: Andrew R. Paley , Nathan D. Nichols , Matthew L. Trahan , Maia Lewis Meza , Michael Tien Thinh Pham , Charlie M. Truong
IPC: G06F40/30 , G06F40/295 , G06N5/02 , G10L17/18
CPC classification number: G06F40/30 , G06F40/295 , G06N5/02 , G10L17/18
Abstract: Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. Narrative analytics that are linked to communication goal statements can employ a conditional outcome framework that allows the content and structure of resulting narratives to intelligently adapt as a function of the nature of the data under consideration. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal.
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118.
公开(公告)号:US11979285B2
公开(公告)日:2024-05-07
申请号:US17820619
申请日:2022-08-18
Applicant: Salesforce, Inc.
Inventor: Jeaneth Vergara , Vivek Dodeja
IPC: H04L41/082 , H04L41/0853 , H04L41/0866 , H04L67/02
CPC classification number: H04L41/082 , H04L41/0856 , H04L41/0866 , H04L67/02
Abstract: The technology disclosed can query configuration management system data and includes cross table selection criteria and joined data return.
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公开(公告)号:US20240144328A1
公开(公告)日:2024-05-02
申请号:US18405279
申请日:2024-01-05
Applicant: Salesforce, Inc.
Inventor: Yuxi Zhang , Kexin Xie , Shrestha Basu Mallick , Darrell Grissen
IPC: G06Q30/02 , G06Q30/0201 , G06Q30/0251
CPC classification number: G06Q30/0281 , G06Q30/0201 , G06Q30/0271
Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
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120.
公开(公告)号:US20240143945A1
公开(公告)日:2024-05-02
申请号:US18161767
申请日:2023-01-30
Applicant: Salesforce, Inc.
Inventor: Shubham Mehrotra , Zachary Alexander , Shilpa Bhagavath , Gurkirat Singh , Shashank Harinath , Anuprit Kale
Abstract: Embodiments described herein provide a cross-lingual intent classification model that predicts in multiple languages without the need of training data in all the multiple languages. For example, data requirement for training can be reduced to just one utterance per intent label. Specifically, when an utterance is fed to the intent classification model, the model checks whether the utterance is similar to any of the example utterances provided for each intent. If any such utterance(s) are found, the model returns the specified intent, otherwise, it returns out of domain (OOD).
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