RELEVANCE IN A KNOWLEDGE GRAPH
    1.
    发明申请

    公开(公告)号:US20240403703A1

    公开(公告)日:2024-12-05

    申请号:US18379136

    申请日:2023-10-11

    Applicant: Apple Inc.

    Abstract: Aspects of the subject technology provide a relevance prediction based on a database of entities and statistics of past interactions between the entities. A relevance of a target entity in the database given a context of entities in the database may be predicted by deriving a probability set of at least one conditional probability from the database for each of the context entities, and then applying a machine learning model to the probability set to produce the relevance of the target entity.

    GROUP IDENTIFICATION USING MACHINE LEARNING

    公开(公告)号:US20210352075A1

    公开(公告)日:2021-11-11

    申请号:US17092147

    申请日:2020-11-06

    Applicant: Apple Inc.

    Abstract: The subject disclosure provides a machine learning engine trained to recommend, from contacts on a user's device, potential group members to be included in a group with the user. The potential group members can be identified in a privacy preserving manner in which the identification is performed locally at the user's device, using data that is locally stored at the user device. In one or more implementations, a remote server may provide an initial indication to the user's device that potential group members may exist, thereby triggering the local identification of the potential group members for suggestion to the user.

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