Providing a social network aware input dictionary
    5.
    发明授权
    Providing a social network aware input dictionary 有权
    提供一个社会网络感知输入字典

    公开(公告)号:US07827165B2

    公开(公告)日:2010-11-02

    申请号:US11856312

    申请日:2007-09-17

    IPC分类号: G06F17/30

    CPC分类号: G06F17/2735

    摘要: Mechanisms for providing a social network aware input dictionary are provided. A social network of users is monitored to determine the words and terms utilized by the users as part of their communication and interaction within the social network. Words and terms are ranked, or prioritized, within the social network based on a determined increase/decrease in popularity of the words/terms as determined from the monitoring of the social network. Based on the ranking of these words/terms, individual input dictionaries associated with devices used by the users of the social network may be automatically updated to include/remove these words/terms and/or increase/decrease a relative priority of the words/terms within the input dictionaries. Such automatic updating may be performed regardless of whether the particular user has used the word/term or not.

    摘要翻译: 提供了提供社交网络感知输入字典的机制。 监控用户的社交网络,以确定用户所使用的词语和术语,作为社交网络中的沟通和交互的一部分。 基于从社交网络的监视确定的词/术语的受欢迎度的确定的增加/减少,词和词在社交网络中被排名或优先排序。 基于这些词语/术语的排名,可以自动更新与社交网络的用户使用的设备相关联的单个输入词典以包括/删除这些单词/术语和/或增加/减少单词/术语的相对优先级 在输入字典内。 可以执行这种自动更新,而不管特定用户是否使用了单词/项。

    System and Method for Providing a Social Network Aware Input Dictionary
    6.
    发明申请
    System and Method for Providing a Social Network Aware Input Dictionary 有权
    提供社会网络意识输入词典的系统和方法

    公开(公告)号:US20090077130A1

    公开(公告)日:2009-03-19

    申请号:US11856312

    申请日:2007-09-17

    IPC分类号: G06F17/30

    CPC分类号: G06F17/2735

    摘要: A system and method for providing a social network aware input dictionary are provided. A social network of users is monitored to determine the words and terms utilized by the users as part of their communication and interaction within the social network. Words and terms are ranked, or prioritized, within the social network based on a determined increase/decrease in popularity of the words/terms as determined from the monitoring of the social network. Based on the ranking of these words/terms, individual input dictionaries associated with devices used by the users of the social network may be automatically updated to include/remove these words/terms and/or increase/decrease a relative priority of the words/terms within the input dictionaries. Such automatic updating may be performed regardless of whether the particular user has used the word/term or not.

    摘要翻译: 提供了一种用于提供社交网络感知输入字典的系统和方法。 监控用户的社交网络,以确定用户所使用的词语和术语,作为社交网络中的沟通和交互的一部分。 基于从社交网络的监视确定的词/术语的受欢迎度的确定的增加/减少,词和词在社交网络中被排名或优先排序。 基于这些词语/术语的排名,可以自动更新与社交网络的用户使用的设备相关联的单个输入词典以包括/删除这些单词/术语和/或增加/减少单词/术语的相对优先级 在输入字典内。 可以执行这种自动更新,而不管特定用户是否使用了单词/项。

    Inferring static traffic artifact presence, location, and specifics from aggregated navigation system data
    9.
    发明授权
    Inferring static traffic artifact presence, location, and specifics from aggregated navigation system data 有权
    从汇总的导航系统数据中推导出静态交通工件的存在,位置和细节

    公开(公告)号:US07519472B1

    公开(公告)日:2009-04-14

    申请号:US12120883

    申请日:2008-05-15

    IPC分类号: G01C21/00 G06F19/00 G08G1/123

    摘要: Aggregated navigation system data can be used by an artifact repository to infer the presence of a static traffic artifact. Static traffic artifact can include traffic lights, traffic signs, special traffic zones, railroad crossings, and the like. Metric data collected from multiple global positioning systems (GPS) devices can provide sampling data for inferring a static traffic artifact on a road. Metrics can include driving behavior, travel direction, velocity, timestamps, delay, and the like. For example, if thirty percent of the data collected about an intersection indicates drivers come to a stop at an intersection, the system can infer a traffic light exists at the intersection. Each traffic artifact can have an associated confidence factor which can indicate the degree of accuracy of the inferred artifact. Confidence factor can be increased or decreased based on the re-evaluation of sample data for the artifact.

    摘要翻译: 聚合导航系统数据可由工件存储库使用,以推断静态流量假象的存在。 静态交通工具可以包括交通灯,交通标志,特殊交通区域,铁路交叉路口等。 从多个全球定位系统(GPS)设备收集的公制数据可以提供采样数据,以推断道路上的静态交通工件。 指标可以包括驾驶行为,旅行方向,速度,时间戳,延迟等。 例如,如果收集的关于交叉路口的数据的百分之三十表示司机在十字路口停下来,系统可以推断交叉点处存在交通信号灯。 每个交通工具可以具有相关的置信因子,其可以指示推断的神器的准确度。 可以根据人造物样本数据的重新评估来增加或减少置信度。