公开(公告)号：US09430476B2

公开(公告)日：2016-08-30

申请号：US14210047

申请日：2014-03-13

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Fan Bai ,  Donald K. Grimm ,  Massimo Osella ,  Leonard C. Nieman ,  Robert A. Hrabak

IPC: G06F17/30 ,  G06Q30/02

CPC classification number: G06F17/30029 ,  G06F17/3053 ,  G06F17/30864 ,  G06F17/3089 ,  G06Q30/0282

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20160124976A1

公开(公告)日：2016-05-05

申请号：US14531242

申请日：2014-11-03

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Fan Bai ,  Donald K. Grimm ,  Leonard C. Nieman

IPC: G06F17/30 ,  H04L29/08 ,  H04W4/02

CPC classification number: G06F17/3087 ,  H04L47/28 ,  H04L67/12 ,  H04L67/18 ,  H04W4/02 ,  H04W4/021 ,  H04W4/70 ,  H04W84/18

Abstract: A crowd sensing system includes a central entity and remote entities. The remote entities receive queries from the central entity and transmit data to the central entity in response to the query. The sample data obtained from the queried remote entity is analyzed and an average value for the sample data is determined for a current time interval. The central entity determines whether a difference between the average values for the current time interval and a previous time interval is greater than a predetermined threshold. The central entity increases the number of entities in response to the difference being greater than the predetermined threshold, and decreases the respective number of remote entities sampled in response to the difference being less than the predetermined threshold. The central entity queries a number of remote entities in the plurality of regions equal to the adjusted number of samples identified by the central entity.

Abstract translation: 人群感知系统包括中央实体和远程实体。 远程实体从中央实体接收查询，并响应于查询向数据中心实体发送数据。 从查询的远程实体获得的样本数据被分析，并且针对当前时间间隔确定样本数据的平均值。 中央实体确定当前时间间隔和前一时间间隔的平均值之间的差是否大于预定阈值。 中央实体增加响应于该差异大于预定阈值的实体数量，并且减少响应于该差小于预定阈值而采样的相应数量的远程实体。 中央实体查询多个区域中的多个远程实体，其等于由中央实体识别的经调整的采样数。

公开(公告)号：US20150261754A1

公开(公告)日：2015-09-17

申请号：US14210047

申请日：2014-03-13

Applicant: GM Global Technology Operations LLC

Inventor： Fan Bai ,  Donald K. Grimm ,  Massimo Osella ,  Leonard C. Nieman ,  Robert A. Hrabak

IPC: G06F17/30

CPC classification number: G06F17/30029 ,  G06F17/3053 ,  G06F17/30864 ,  G06F17/3089 ,  G06Q30/0282

Abstract: 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.

Abstract translation: 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。