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    • 7. 发明授权
    • Method and apparatus of user recommendation system for in-vehicle apps
    • 用于车载应用的用户推荐系统的方法和装置
    • US09430476B2
    • 2016-08-30
    • US14210047
    • 2014-03-13
    • GM GLOBAL TECHNOLOGY OPERATIONS LLC
    • Fan BaiDonald K. GrimmMassimo OsellaLeonard C. NiemanRobert A. Hrabak
    • G06F17/30G06Q30/02
    • G06F17/30029G06F17/3053G06F17/30864G06F17/3089G06Q30/0282
    • A method and system for recommending applications to users of in-vehicle infotainment systems are disclosed. Application rating data from many road vehicle infotainment system users are collected on a central server, including both explicit ratings and implicit ratings. Implicit ratings may be calculated based on application usage data. The user/application rating data is filtered for relevance, and then analyzed to determine inferred ratings for user/application relationships where no rating exists. The inferred ratings are calculated using both a user-driven consensus rating calculation and an application-driven consensus rating calculation. The inferred ratings, along with optional cyberspace-based external inputs, are used to synthesize application recommendations for users. The synthesized recommendations for application consideration are provided to the appropriate user via downloading from the central server to the infotainment system in the user's vehicle.
    • 公开了一种用于向车载信息娱乐系统的用户推荐应用的方法和系统。 来自许多道路车辆信息娱乐系统用户的应用等级数据被收集在中央服务器上,包括明确的等级和隐含的等级。 可以根据应用使用情况数据计算隐含评级。 过滤用户/应用程序评级数据的相关性,然后进行分析,以确定不存在评级的用户/应用程序关系的推断评级。 推断的评级是使用用户驱动的一致评级计算和应用程序驱动的一致评级计算来计算的。 推断的评级以及可选的基于网络空间的外部输入被用于综合用户的应用建议。 通过从中央服务器下载到用户车辆中的信息娱乐系统,将合适的应用考虑建议提供给适当的用户。
    • 8. 发明申请
    • METHOD AND APPARATUS OF USER RECOMMENDATION SYSTEM FOR IN-VEHICLE APPS
    • 用于车载APPS的用户建议系统的方法和装置
    • US20150261754A1
    • 2015-09-17
    • US14210047
    • 2014-03-13
    • GM Global Technology Operations LLC
    • Fan BaiDonald K. GrimmMassimo OsellaLeonard C. NiemanRobert A. Hrabak
    • G06F17/30
    • G06F17/30029G06F17/3053G06F17/30864G06F17/3089G06Q30/0282
    • A method and system for recommending applications to users of in-vehicle infotainment systems are disclosed. Application rating data from many road vehicle infotainment system users are collected on a central server, including both explicit ratings and implicit ratings. Implicit ratings may be calculated based on application usage data. The user/application rating data is filtered for relevance, and then analyzed to determine inferred ratings for user/application relationships where no rating exists. The inferred ratings are calculated using both a user-driven consensus rating calculation and an application-driven consensus rating calculation. The inferred ratings, along with optional cyberspace-based external inputs, are used to synthesize application recommendations for users. The synthesized recommendations for application consideration are provided to the appropriate user via downloading from the central server to the infotainment system in the user's vehicle.
    • 公开了一种用于向车载信息娱乐系统的用户推荐应用的方法和系统。 来自许多道路车辆信息娱乐系统用户的应用等级数据被收集在中央服务器上,包括明确的等级和隐含的等级。 可以根据应用使用情况数据计算隐含评级。 过滤用户/应用程序评级数据的相关性,然后进行分析,以确定不存在评级的用户/应用程序关系的推断评级。 推断的评级是使用用户驱动的一致评级计算和应用程序驱动的一致评级计算来计算的。 推断的评级以及可选的基于网络空间的外部输入被用于综合用户的应用建议。 通过从中央服务器下载到用户车辆中的信息娱乐系统,将合适的应用考虑建议提供给适当的用户。