PRIVACY-SAFE CONNECTION RECOMMENDATIONS
    1.
    发明公开

    公开(公告)号:US20230409751A1

    公开(公告)日:2023-12-21

    申请号:US18322357

    申请日:2023-05-23

    Applicant: Snap Inc.

    CPC classification number: G06F21/6263 H04L51/42 H04L51/52

    Abstract: When a messaging system generates connection recommendations for a new user, who first registers with the messaging system, the signals available for generation of recommendations may be limited to the user's contact book matches. Using just this limited signal poses a concern associated with leaking information about users represented by the recommendations. The technical problem of generating connection recommendations for a user at registration time in a privacy-safe manner is addressed by a recommendation methodology that obscures the connection source and the connection distance of the recommended profiles.

    Privacy-safe connection recommendations

    公开(公告)号:US11698992B2

    公开(公告)日:2023-07-11

    申请号:US17513015

    申请日:2021-10-28

    Applicant: Snap Inc.

    CPC classification number: G06F21/6263 H04L51/42 H04L51/52

    Abstract: When a messaging system generates connection recommendations for a new user, who first registers with the messaging system, the signals available for generation of recommendations may be limited to the user's contact book matches. Using just this limited signal poses a concern associated with leaking information about users represented by the recommendations. The technical problem of generating connection recommendations for a user at registration time in a privacy-safe manner is addressed by a recommendation methodology that obscures the connection source and the connection distance of the recommended profiles.

    PRIVACY-SAFE CONNECTION RECOMMENDATIONS

    公开(公告)号:US20230062102A1

    公开(公告)日:2023-03-02

    申请号:US17513015

    申请日:2021-10-28

    Applicant: Snap Inc.

    Abstract: When a messaging system generates connection recommendations for a new user, who first registers with the messaging system, the signals available for generation of recommendations may be limited to the user's contact book matches. Using just this limited signal poses a concern associated with leaking information about users represented by the recommendations. The technical problem of generating connection recommendations for a user at registration time in a privacy-safe manner is addressed by a recommendation methodology that obscures the connection source and the connection distance of the recommended profiles.

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