Multi-Tier Geofence Detection
    171.
    发明申请
    Multi-Tier Geofence Detection 有权
    多层地理选择检测

    公开(公告)号:US20140045521A1

    公开(公告)日:2014-02-13

    申请号:US13959626

    申请日:2013-08-05

    Applicant: Apple Inc.

    CPC classification number: H04W4/021 H04W4/02 H04W4/20 H04W4/50 H04W64/00

    Abstract: Methods, program products, and systems for multi-tier geofence detection are disclosed. In general, in one aspect, a mobile device can be configured to perform a task when the mobile device enters a geographic region. The mobile device can monitor a current location using a multi-tier approach. A baseband subsystem can monitor a coarse location of the mobile device using various course location parameters, such as a mobile country code (MCC), a location area code (LAC), or a cell identifier (cell ID), as the mobile device moves closer to the geographic region. Upon determining that the mobile device is in a cell that intersects the geographic region, the baseband subsystem can transfer the monitoring to the application subsystem. The task can be performed when the application subsystem determines that the mobile device is currently located in the geographic region.

    Abstract translation: 公开了用于多层地理围栏检测的方法,程序产品和系统。 通常,在一个方面,移动设备可被配置为当移动设备进入地理区域时执行任务。 移动设备可以使用多层方法监视当前位置。 基带子系统可以使用诸如移动国家代码(MCC),位置区域代码(LAC)或小区标识符(小区ID)的各种课程位置参数监视移动设备的粗略位置,因为移动设备移动 更靠近地理区域。 在确定移动设备在与地理区域相交的小区中时,基带子系统可以将监视传送到应用子系统。 当应用子系统确定移动设备当前位于地理区域中时,可以执行该任务。

    APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA
    172.
    发明申请
    APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA 有权
    使用CROWD-SOURCED本地化应用程序使用数据的APP建议

    公开(公告)号:US20130325856A1

    公开(公告)日:2013-12-05

    申请号:US13842724

    申请日:2013-03-15

    Applicant: Apple Inc.

    Abstract: Apps may be tagged with location data when they are used. Mobile device may anonymously submit app usage data. Aggregated app usage data from many mobile devices may be analyzed to determine apps that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the app usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular app, the device populations in a particular area, etc. Based on the localized app analysis, apps may be ranked according to local relevance, and, based on this ranking, app recommendations may be provided to a user.

    Abstract translation: 应用程序在使用时可能会使用位置数据进行标记。 移动设备可以匿名提交应用使用数据。 可以分析来自许多移动设备的聚合应用使用数据,以确定与给定位置特别相关(即,呈现高度定位)的应用。 分析可以包括确定应用使用强度,无论是否在给定位置存在热点,特定应用的空间熵,特定区域中的设备种群等。基于本地化应用分析,应用可以根据 本地相关性,并且基于该排名,可以向用户提供应用建议。

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