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    RELEVANT INFORMATION RETRIEVAL IN RECORD MANAGEMENT SYSTEMS
    12.
    发明申请
    RELEVANT INFORMATION RETRIEVAL IN RECORD MANAGEMENT SYSTEMS 审中-公开

    公开(公告)号：US20170351781A1

    公开(公告)日：2017-12-07

    申请号：US15601806

    申请日：2017-05-22

    Applicant: salesforce.com, inc.

    Inventor： Zachary Alexander ,  Siddharth Rajaram ,  Tracy Morgan Backes ,  Scott Thurston Rickard, JR.

    IPC: G06F17/30 ,  G06F17/27 ,  G06N3/02

    Abstract: A record management system retrieves relevance information through an information retrieval model that models relevance between users, queries, and records based on user interaction data with records. Relevance information between different elements of the record management system are determined through a set of learned transformations in the information retrieval model. The record management system can quickly retrieve relevance information between different elements of the record management system given the set of learned transformations in the information retrieval model, without the need to construct separate systems for different types of relevance information. Moreover, even without access to contents of records, the record management system can determine relevant records for a given query based on user interaction data and the determined relationships between users, queries, and records learned through the information retrieval model.

    Question answering using dynamic question-answer database
    13.
    发明授权
    Question answering using dynamic question-answer database 有权

    公开(公告)号：US12001801B2

    公开(公告)日：2024-06-04

    申请号：US16685909

    申请日：2019-11-15

    Applicant: salesforce.com, inc.

    Inventor： Yuanxin Wang ,  Anuprit Kale ,  Zachary Alexander ,  Na Cheng

    IPC: G06F40/30 ,  G06F16/9032 ,  G06F18/22 ,  G06F40/205 ,  G06N20/00

    CPC classification number: G06F40/30 ,  G06F16/90332 ,  G06F18/22 ,  G06F40/205 ,  G06N20/00

    Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for integrating question generation and answer retrieval in a question answer system. The system generates a question using a set of documents and determines whether it is semantically distinct from questions in a question-answer repository. After determining that the question is semantically distinct from questions in the question-answer repository, the system adds the question to the question-answer repository. Upon receipt of a user-submitted question, the system uses the question-answer repository to identify a semantically similar question. The system retrieves an answer corresponding to the identified question from the question-answer repository and provides the answer in response to the user-submitted question.

    TRAINING A MACHINE LEARNING MODEL USING STRUCTURED DATA
    14.
    发明申请
    TRAINING A MACHINE LEARNING MODEL USING STRUCTURED DATA 有权

    公开(公告)号：US20220318669A1

    公开(公告)日：2022-10-06

    申请号：US17220567

    申请日：2021-04-01

    Applicant: salesforce.com, inc.

    Inventor： Zachary Alexander ,  Na Cheng ,  Jayesh Govindarajan

    IPC: G06N20/00 ,  G06K9/62

    Abstract: A computing system may receive a corpus of training data including a plurality of data entity schemas. A first data entity of a first set of data entities corresponding to a first data entity schema is associated with a topic characteristic based on a first set of attributes defined by the first data entity schema, and a first attribute of the first set of attributes is associated with a structural characteristic that is common across each of the first set of data entities. The system may identify a respective attribute type identifier for each attribute of the first set, generate an attribute embedding for each attribute using the attribute value and the identifier, generate an entity embedding based on each attribute embedding and parameterize the topic characteristic for each data entity and the structural characteristic for each attribute.

    METHODS AND SYSTEMS OF ANSWERING FREQUENTLY ASKED QUESTIONS (FAQS)
    15.
    发明申请
    METHODS AND SYSTEMS OF ANSWERING FREQUENTLY ASKED QUESTIONS (FAQS) 有权

    公开(公告)号：US20220318501A1

    公开(公告)日：2022-10-06

    申请号：US17221691

    申请日：2021-04-02

    Applicant: salesforce.com, inc.

    Inventor： Zachary Alexander

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

    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.

    Identification of response list
    16.
    发明授权
    Identification of response list 有权

    公开(公告)号：US11379671B2

    公开(公告)日：2022-07-05

    申请号：US16687626

    申请日：2019-11-18

    Applicant: salesforce.com, inc.

    Inventor： Zachary Alexander ,  Edgar Gerardo Velasco ,  Victor Winslow Yee ,  Na Cheng ,  Khoa Le

    IPC: G06F40/30 ,  G06F16/33 ,  G06N20/00 ,  G06F16/332

    Abstract: A system is configured to analyze a corpus of historical chat data to identify the list of “best” responses. As such, the user is not required to identify a list of canned responses for input into the system. The described system uses a context word embedding function and response word embedding function to generate context vectors and response vectors corresponding to the corpus of conversation data, and the vectors are represented by a respective context matrix and a response matrix. The system processes these matrices to generate scores for responses, clusters the responses, and identifies the responses corresponding to the best scores for each cluster.

    Visualizing Neural Networks
    20.
    发明申请
    Visualizing Neural Networks 审中-公开

    公开(公告)号：US20170351401A1

    公开(公告)日：2017-12-07

    申请号：US15608618

    申请日：2017-05-30

    Applicant: salesforce.com, inc.

    Inventor： Greg Thomas Pascale ,  Zachary Alexander ,  Scott Thurston Rickard, JR.

    IPC: G06F3/0481 ,  G06F17/30 ,  G06N3/063

    CPC classification number: G06F3/04812 ,  G06F16/248 ,  G06F16/34 ,  G06N3/105 ,  G06T11/206

    Abstract: A user provides a description of a neural network to a visualization tool. The visualization tool displays a user interface that includes a visual of the neural network based on the description. If the user interacts with a node or connection, for example by placing a cursor on the node/connection in the user interface, the user interface displays information associated with the node/connection. If the user selects a node of a layer, the neural network is applied to an input that corresponds to the selection and the user interface displays the propagation of the input through the neural network. Additionally, the user interface displays results from applying the neural network to the input.

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