TRANSFER OF DRIVER PROFILE FOR VARIOUS VEHICLES

    公开(公告)号:EP4312421A1

    公开(公告)日:2024-01-31

    申请号:EP23188004.8

    申请日:2023-07-27

    申请人: Paccar Inc

    摘要: Systems and methods for transferring a driver profile between various vehicles. A driver profile is created in association with a driver of a first vehicle having a mobile device that executes a mobile application configured to communicate with and receive driver-adjusted configuration settings associated with operation of the first vehicle. The mobile application may store the adjusted configuration settings in the driver profile. The mobile application may be further configured to communicate with a plurality of other vehicles. In some examples, when the driver operates a second vehicle of the plurality of other vehicles, the mobile application can map the adjusted configuration settings in the driver profile to a set of adjusted configuration settings for the second vehicle. For example, the second vehicle may adjust various configuration settings of the second vehicle based on the received adjusted configuration settings.

    LOW ENTROPY BROWSING HISTORY FOR CONTENT QUASI-PERSONALIZATION

    公开(公告)号:EP4274194A3

    公开(公告)日:2023-12-06

    申请号:EP23198404.8

    申请日:2020-03-31

    申请人: Google LLC

    摘要: The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.

    LOW ENTROPY BROWSING HISTORY FOR CONTENT QUASI-PERSONALIZATION

    公开(公告)号:EP4274194A2

    公开(公告)日:2023-11-08

    申请号:EP23198404.8

    申请日:2020-03-31

    申请人: Google LLC

    IPC分类号: H04L67/306

    摘要: The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.