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    GENERATING AND MUTUALLY MATURING A KNOWLEDGE CORPUS
    2.
    发明申请
    GENERATING AND MUTUALLY MATURING A KNOWLEDGE CORPUS 有权

    公开(公告)号：US20220103574A1

    公开(公告)日：2022-03-31

    申请号：US17032006

    申请日：2020-09-25

    Applicant: International Business Machines Corporation

    Inventor： Shikhar Kwatra ,  Adam Lee Griffin ,  Indervir Singh Banipal ,  Sarbajit K. Rakshit ,  Laura Grace Ellis

    IPC: H04L29/06 ,  G06N20/00 ,  G06F16/248 ,  G06N5/04 ,  G06F3/16

    Abstract: In an approach to mature a knowledge corpus using artificial intelligence (AI) and user collaboration, embodiments create, by an AI response system, a knowledge corpus based on retrieved data associated with a first user. Additionally, embodiments execute, by the AI response system, a search to locate one or more matching knowledge corpora based on a request of the first user, and identify, by an anonymous network, at least one cluster of one or more anonymous second users having respective search requests that substantially match the search request of the first user. Furthermore, embodiments execute an AI exchange between the identified one or more anonymous second users and the first user, and mature the knowledge corpus, via the AI response system, based on the AI exchange between the first user and the identified one or more anonymous second users.

    RECOMMENDING ACTIONS FOR AVOIDANCE OF FOOD INTOLERANCE SYMPTOMS
    5.
    发明申请
    RECOMMENDING ACTIONS FOR AVOIDANCE OF FOOD INTOLERANCE SYMPTOMS 有权

    公开(公告)号：US20210166803A1

    公开(公告)日：2021-06-03

    申请号：US16699979

    申请日：2019-12-02

    Applicant: International Business Machines Corporation

    Inventor： Laura Grace Ellis ,  Shikhar Kwatra ,  Corinne Anne Leopold ,  Sarbajit K. Rakshit

    IPC: G16H20/60 ,  G06N3/04 ,  G06F3/01 ,  H04W4/029 ,  G06K9/00

    Abstract: In an approach to recommending actions for avoiding food intolerance, one or more computer processors receive data, where the received data includes data associated with a food item viewed by a first user, data associated with the first user, and data associated with an environment of the first user. One or more computer processors determine a health condition of the first user. One or more computer processors predict a first food intolerance reaction of the first user to the viewed food item based on the received data and the determined health condition. One or more computer processors determine a first action recommendation for the first user corresponding to the first predicted food intolerance reaction. One or more computer processors determine a first action recommendation for the first user corresponding to the first predicted food intolerance reaction. One or more computer processors present the first action recommendation to the first user.

    Generating and mutually maturing a knowledge corpus
    6.
    发明授权
    Generating and mutually maturing a knowledge corpus 有权

    公开(公告)号：US11552966B2

    公开(公告)日：2023-01-10

    申请号：US17032006

    申请日：2020-09-25

    Applicant: International Business Machines Corporation

    Inventor： Shikhar Kwatra ,  Adam Lee Griffin ,  Indervir Singh Banipal ,  Sarbajit K. Rakshit ,  Laura Grace Ellis

    IPC: G06F3/048 ,  H04L9/40 ,  G06N20/00 ,  G06F3/16 ,  G06N5/04 ,  G06F16/248

    Abstract: In an approach to mature a knowledge corpus using artificial intelligence (AI) and user collaboration, embodiments create, by an AI response system, a knowledge corpus based on retrieved data associated with a first user. Additionally, embodiments execute, by the AI response system, a search to locate one or more matching knowledge corpora based on a request of the first user, and identify, by an anonymous network, at least one cluster of one or more anonymous second users having respective search requests that substantially match the search request of the first user. Furthermore, embodiments execute an AI exchange between the identified one or more anonymous second users and the first user, and mature the knowledge corpus, via the AI response system, based on the AI exchange between the first user and the identified one or more anonymous second users.

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