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    Image-Based Detection of Errors in Application State
    521.
    发明申请
    Image-Based Detection of Errors in Application State 有权

    公开(公告)号：US20210141684A1

    公开(公告)日：2021-05-13

    申请号：US16682954

    申请日：2019-11-13

    Applicant: salesforce.com, inc.

    Inventor： João Henrique Pimentel Wanderley Neves

    IPC: G06F11/07 ,  G06F11/30

    Abstract: Systems and methods are disclosed herein for using screen shots of an application to evaluate whether the application is in a fault state. In an embodiment, a processor captures screen shots of a screen of an application during operation of the application. The processor applies a classifier to the captured screen shots, and determines, from output of the classifier, a state of the application. The processor evaluates whether the determined state is a fault state of the application. Responsive to determining that the determined state is a fault state of the application, the processor prompts a user with an alert indicating the fault state and a corresponding point during the operation that exhibited the fault state.

    Feature-agnostic behavior profile based anomaly detection
    522.
    发明授权
    Feature-agnostic behavior profile based anomaly detection 有权

    公开(公告)号：US11005864B2

    公开(公告)日：2021-05-11

    申请号：US15600562

    申请日：2017-05-19

    Applicant: salesforce.com, inc.

    Inventor： Matthew Saunders ,  Ping Yan ,  John Slater ,  Wei Deng

    IPC: H04L29/06 ,  G06F16/22 ,  G06F16/23 ,  H04L12/24 ,  G06N20/00

    Abstract: Techniques for user behavior anomaly detection. At least one low-variance characteristic is compared to an expected result for the corresponding low-variance characteristics to determine if the low-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the low-variance characteristic not being within the first pre-selected range of the expected results. At least one high-variance characteristic is compared to an expected result for the corresponding high-variance characteristics to determine if the high-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the high-variance characteristic not being within the first pre-selected range of the expected results. Access is provided if the low-variance and the high-variance characteristics are within the respective expected ranges.

    COMPARING NETWORK SECURITY SPECIFICATIONS ACROSS EQUIVALENT NETWORKS
    524.
    发明申请
    COMPARING NETWORK SECURITY SPECIFICATIONS ACROSS EQUIVALENT NETWORKS 有权

    公开(公告)号：US20210136119A1

    公开(公告)日：2021-05-06

    申请号：US16675678

    申请日：2019-11-06

    Applicant: salesforce.com, inc.

    Inventor： Toan Nguyen

    IPC: H04L29/06 ,  H04L12/24

    Abstract: A system receives network security specifications for two different networks that are equivalent. The system compares the two network security specifications expected to implement the same network security policy for the two equivalent networks and identifies possible discrepancies between them. The system generates a representation of relations between subnetworks of the corresponding network for each network security specification. The representation efficiently stores permitted connections between subnetworks. The system compares the representations corresponding to the two network security specifications to identify discrepancies across the two network security specifications. If discrepancies are identified across the two network security specifications the system generates a report identifying the discrepancies.

    ACCESSING CLIENT CREDENTIAL SETS USING A KEY
    525.
    发明申请
    ACCESSING CLIENT CREDENTIAL SETS USING A KEY 有权

    公开(公告)号：US20210136052A1

    公开(公告)日：2021-05-06

    申请号：US17146255

    申请日：2021-01-11

    Applicant: salesforce.com, inc.

    Inventor： Kyle Edward Heldman ,  Douglas Christopher Wilson ,  Jackson Gregory Reed ,  Kyle Warren Apple ,  Jacob Andrew Richwine

    IPC: H04L29/06 ,  G06F8/61 ,  G06F9/54 ,  G06F21/41 ,  G06Q10/06 ,  H04W12/084

    Abstract: Techniques are disclosed relating to a computer system accessing a client credential set to authenticate with a destination computer system. A computer system may, subsequent to receiving an indication to make available an application for a particular user, retrieve configuration data specifying a reference to a key value. The computer system may maintain a data object that includes a client credential set for the particular user. In response to an occurrence of an event associated with the application, the computer system may access the client credential set of the particular user from the data object using the key value and an indication of the particular user. The computer system may then send a request including the client credential set to a destination computer system for authentication with the destination computer system and receive a response indicating whether the computer system has been authenticated.

    CUSTOMIZABLE ANIMATIONS
    526.
    发明申请
    CUSTOMIZABLE ANIMATIONS 有权

    公开(公告)号：US20210132966A1

    公开(公告)日：2021-05-06

    申请号：US16670891

    申请日：2019-10-31

    Applicant: salesforce.com, inc.

    Inventor： Sultan ALI ,  Aria NIAZI ,  Darrel Dazhi LIU ,  Jeremy ELLISON ,  Jianmin LIU ,  Bhargav VENKATARAMAN

    IPC: G06F9/451 ,  G06F8/34 ,  G06T13/40

    Abstract: Disclosed herein are system, method, and device embodiments for implementing dynamic customizable animations. A multi-tenant service may configure a visual component of an application to present an animation based on a rule, generate a multi-tenant entity record defining the rule, and generate application code associated with the application. Further, the multi-tenant service may receive a request for animation information associated with the multi-tenant entity record, and send the animation information to the client device. Further, in some embodiments, a client device executing the application may present the animation based on evaluating the animation information.

    Routing of cases using unstructured input and natural language processing
    527.
    发明授权
    Routing of cases using unstructured input and natural language processing 有权

    公开(公告)号：US10997250B2

    公开(公告)日：2021-05-04

    申请号：US16140418

    申请日：2018-09-24

    Applicant: salesforce.com, inc.

    Inventor： Sitaram Asur ,  Aditya Sakhuja ,  Hui S. Fisher ,  Anjan Goswami ,  Khoa Le

    IPC: G06F16/9032 ,  G06F9/451 ,  G06F40/30 ,  G06F40/295

    Abstract: A method is provided for generating a ranked list of candidate responders. In some embodiments, the method includes receiving a question from a user and generating a question feature vector representing an intent of the question and a first skill set inferred from the question. The method also includes for one or more candidate responders, generating a candidate feature vector representing a skill set and questions associated with the respective candidate responder; computing a reputation score based on questions and user feedback associated with the respective candidate responder; and computing, based on the question feature vector, candidate feature vector, and reputation score, a probability score representing a prediction of the quality of an answer that would be provided by the respective candidate responder if the input question were routed to the respective candidate responder. The method further includes generating a ranked list of candidate responders using the computed probability scores.

    TECHNOLOGIES FOR PREDICTING PERSONALIZED MESSAGE SEND TIMES
    529.
    发明申请
    TECHNOLOGIES FOR PREDICTING PERSONALIZED MESSAGE SEND TIMES 有权

    公开(公告)号：US20210126885A1

    公开(公告)日：2021-04-29

    申请号：US16662718

    申请日：2019-10-24

    Applicant: salesforce.com, inc.

    Inventor： Yuxi ZHANG ,  Kexin XIE

    IPC: H04L12/58 ,  G06N20/00 ,  G06F17/16

    Abstract: Disclosed embodiments are related to send time optimization technologies for sending messages to users. The send time optimization technologies provide personalized recommendations for sending messages to individual subscribers taking into account the delay and/or lag between the send time and the time when a subscriber engages with a sent message. A machine learning (ML) approach is used to predict the optimal send time to send messages to individual subscribers for improving message engagement. The personalized recommendations are based on unique characteristics of each user's engagement preferences and patterns, and deals with historical feedback that is generally incomplete and skewed towards a small set of send hours. The ML approach automatically discovers hidden factors underneath message and send time engagements. The ML model may be a two-layer non-linear matrix factorization model. Other embodiments may be described and/or claimed.

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