中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

23 records (took 0.018 seconds)

    Database systems with adaptive automated metadata assignment
    11.
    发明授权
    Database systems with adaptive automated metadata assignment 有权

    公开(公告)号：US12079224B2

    公开(公告)日：2024-09-03

    申请号：US18064696

    申请日：2022-12-12

    Applicant: Salesforce, Inc.

    Inventor： Zachary Alexander ,  Yixin Mao

    IPC: G06F7/00 ,  G06F16/00 ,  G06F16/242 ,  G06F16/2457 ,  G06F16/28

    CPC classification number: G06F16/24573 ,  G06F16/244 ,  G06F16/285

    Abstract: Database systems and methods are provided for assigning structural metadata to records and creating automations using the structural metadata. One method of assigning structural metadata involves determining a candidate group of semantically similar conversations based on unassigned conversations, determining a clustering performance metric associated with the candidate group based on a relationship between the candidate group and a plurality of existing groups of semantically similar conversations, and when the clustering performance metric is greater than a threshold, automatically assigning one or more unassigned conversations to the candidate group based on the representative utterances associated therewith and automatically updating one or more associated records at a database system to include metadata identifying the candidate group.

    Methods and systems of answering frequently asked questions (FAQs)
    13.
    发明授权
    Methods and systems of answering frequently asked questions (FAQs) 有权

    公开(公告)号：US11790169B2

    公开(公告)日：2023-10-17

    申请号：US17221691

    申请日：2021-04-02

    Applicant: Salesforce, Inc.

    Inventor： Zachary Alexander

    IPC: G06F40/279 ,  G10L15/06 ,  G10L15/22

    CPC classification number: G06F40/279 ,  G10L15/063 ,  G10L15/22

    Abstract: Methods and systems for answering frequently asked questions are described. An utterance is received. A decision score that is indicative of the likelihood that the utterance is answerable according to a set of frequently asked questions and associated answers is determined for the utterance. A candidate answer from the associated answers and a selection score for the candidate answer are determined for the utterance. A total score for the candidate answer is determined based on the decision score and the selection score. The total score is indicative of the likelihood that the candidate answer is a correct answer for the utterance according to the set of frequently asked questions and associated answers.

    SYSTEMS AND METHODS FOR NEURAL NETWORK BASED RECOMMENDER MODELS
    14.
    发明申请
    SYSTEMS AND METHODS FOR NEURAL NETWORK BASED RECOMMENDER MODELS 有权

    公开(公告)号：US20240412059A1

    公开(公告)日：2024-12-12

    申请号：US18330488

    申请日：2023-06-07

    Applicant: Salesforce, Inc.

    Inventor： Regunathan Radhakrishnan ,  Zachary Alexander ,  Sitaram Asur ,  Shashank Harinath ,  Na Cheng ,  Shiva Kumar Pentyala

    IPC: G06N3/08

    Abstract: Embodiments described herein provide A method for training a neural network based model. The methods include receiving a training dataset with a plurality of training samples, and those samples are encoded into representations in feature space. A positive sample is determined from the raining dataset based on a relationship between the given query and the positive sample in feature space. For a given query, a positive sample from the training dataset is selected based on a relationship between the given query and the positive sample in a feature space. One or more negative samples from the training dataset that are within a reconfigurable distance to the positive sample in the feature space are selected, and a loss is computed based on the positive sample and the one or more negative samples. The neural network is trained based on the loss.

    Machine-learning based document recommendation for online real-time communication system
    15.
    发明授权
    Machine-learning based document recommendation for online real-time communication system 有权

    公开(公告)号：US12153640B2

    公开(公告)日：2024-11-26

    申请号：US18079857

    申请日：2022-12-12

    Applicant: Salesforce, Inc.

    Inventor： Feifei Jiang ,  Zachary Alexander ,  Yuanxin Wang ,  Yixin Mao ,  Sitaram Asur ,  Regunathan Radhakrishnan ,  Aron Kale

    IPC: G06F16/9535 ,  G06F16/9538

    Abstract: A cloud platform establishes a communication session between an agent and a user. The communication session is over an electrical medium. The cloud platform generates an interface on a client device associated with the agent. A first portion of the interface is configured to exchange messages between the agent and the user for a conversation or otherwise transcribe a conversation between the agent and the user. The cloud platform obtains, at a first time, a set of utterances from a transcript of the conversation. The cloud platform accesses a database including a plurality of articles. The cloud platform generates relevance scores between the conversation and the plurality of articles. The cloud platform then selects a subset of articles having relevance scores above a threshold value or proportion. The identified articles are presented on a second portion of the interface.

    DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT
    16.
    发明公开
    DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT 审中-公开

    公开(公告)号：US20240193373A1

    公开(公告)日：2024-06-13

    申请号：US18064724

    申请日：2022-12-12

    Applicant: Salesforce, Inc.

    Inventor： Zachary Alexander ,  Yixin Mao

    IPC: G06F40/35 ,  G06F16/16

    CPC classification number: G06F40/35 ,  G06F16/164

    Abstract: Database systems and methods are provided for assigning structural metadata to records and creating automations using the structural metadata. One method of assigning structural metadata to a group of conversation records involves receiving a user input modification pertaining to a group of semantically similar conversations, automatically reassigning a conversation to a different group of semantically similar conversations based on its representative utterance in a manner that is influenced by the user input modification, and automatically updating, at a database system, a record associated with the conversation to include metadata identifying the different group of semantically similar conversations.

    DATABASE SYSTEMS AND METHODS OF DEFINING CONVERSATION AUTOMATIONS
    19.
    发明申请
    DATABASE SYSTEMS AND METHODS OF DEFINING CONVERSATION AUTOMATIONS 有权

    公开(公告)号：US20230089596A1

    公开(公告)日：2023-03-23

    申请号：US17933388

    申请日：2022-09-19

    Applicant: Salesforce, Inc.

    Inventor： Jacob Nathaniel Huffman ,  Zachary Alexander ,  Yixin Mao ,  Nicholas Feinig ,  Avanthika Ramesh ,  Zineb Laraki

    IPC: G06F40/35 ,  G06F16/35 ,  G06F16/383 ,  G10L15/26 ,  H04L51/02

    Abstract: Database systems and methods are provided for assigning structural metadata to records and creating automations using the structural metadata. One method of assisting creation of an automation for conversational interactions involves providing a first graphical user interface (GUI) display including graphical indicia of a plurality of semantic groups associated with historical conversations, in response to selection of a semantic group, providing a second GUI display including second graphical indicia of a plurality of cluster groups of conversations associated with the selected semantic group, in response to second selection of a cluster group, providing a third GUI display including third graphical indicia of representative utterances associated with respective conversations of a subset of historical conversations assigned to the selected cluster group, and in response to third selection of a GUI element on the third GUI display, providing a fourth GUI display including GUI elements for defining the automation.

    Systems and methods for providing an automated testing pipeline for neural network models
    20.
    发明授权
    Systems and methods for providing an automated testing pipeline for neural network models 有权

    公开(公告)号：US12197317B2

    公开(公告)日：2025-01-14

    申请号：US18156323

    申请日：2023-01-18

    Applicant: Salesforce, Inc.

    Inventor： Shiva Kumar Pentyala ,  Shashank Harinath ,  Sitaram Asur ,  Zachary Alexander

    IPC: G06F11/36

    Abstract: Embodiments described herein provide an automated testing pipeline for providing a testing dataset for testing a trained neural network model trained using a first training dataset. A first testing dataset for the trained neural network including a first plurality of user queries is received. A dependency parser is used to filter the first plurality of user queries based on one or more action verbs. A pretrained language model is used to rank the remaining user queries based on respective relationships with queries in the first training dataset. Further, user queries that are classified as keyword matches with the queries in the first training dataset using a bag of words classifier are removed. A second testing dataset is generated using the ranked remaining user queries. Testing outputs are generated, by the trained neural network model, using the second testing dataset.

Patent Agency Ranking