User simulation for model initialization

    公开(公告)号:US11182057B2

    公开(公告)日:2021-11-23

    申请号:US16054986

    申请日:2018-08-03

    Applicant: APPLE INC.

    Abstract: The subject technology provides generating configuration files that represent user interaction scenarios on a device, the configuration files including a set of user interface (UI) elements to display and a set of interactions corresponding to user activity to perform on at least one UI element of the set of UI elements. The subject technology processes the configuration files using a relevance engine to determine a relevance score of each UI element of the set of UI elements, wherein the relevance score is based at least in part on weights assigned to features based on the user activity and respective variance values of the features, and the features include information related to a location or time. The subject technology generates a user simulation based machine learning model based at least on each relevance score of each UI element. The subject technology stores the user simulation based machine learning model on the device.

    DETERMINING RELEVANT INFORMATION BASED ON USER INTERACTIONS

    公开(公告)号:US20180336284A1

    公开(公告)日:2018-11-22

    申请号:US15721717

    申请日:2017-09-29

    Applicant: Apple Inc.

    Abstract: A system for determining relevant information based on user interactions may include a processor configured to receive data and associated relevance information from a data source and a set of signals describing a current environment of a user or historical user behavior information in which the data source being local to a computing device. The processor may be further configured to provide, using a machine learning model, a relevance score for each of multiple data items based at least in part on the received relevance information and the set of signals. The processor may be further configured to sort the data items based on a ranking of each relevance score for each data item. The processor may be further configured to provide, as output, the multiple data items based at least in part on the ranking,

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