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    • 93. 发明申请
    • Automatic language model update
    • 自动语言模型更新
    • US20070233487A1
    • 2007-10-04
    • US11396770
    • 2006-04-03
    • Michael CohenShumeet BalujaPedro Moreno
    • Michael CohenShumeet BalujaPedro Moreno
    • G10L15/28
    • G10L15/065G10L15/06G10L15/063G10L15/187G10L15/26G10L2015/0635
    • A method for generating a speech recognition model includes accessing a baseline speech recognition model, obtaining information related to recent language usage from search queries, and modifying the speech recognition model to revise probabilities of a portion of a sound occurrence based on the information. The portion of a sound may include a word. Also, a method for generating a speech recognition model, includes receiving at a search engine from a remote device an audio recording and a transcript that substantially represents at least a portion of the audio recording, synchronizing the transcript with the audio recording, extracting one or more letters from the transcript and extracting the associated pronunciation of the one or more letters from the audio recording, and generating a dictionary entry in a pronunciation dictionary.
    • 一种用于产生语音识别模型的方法,包括:访问基准语音识别模型,从搜索查询获得与最近的语言使用相关的信息,以及修改语音识别模型,以基于该信息修改声音发生的一部分的概率。 声音的一部分可能包含一个字。 另外,一种用于生成语音识别模型的方法包括:从搜索引擎从远程设备接收基本上表示音频记录的至少一部分的音频记录和抄本,将录音与音频记录同步,提取一个或 从录音中提取更多的字母,并且从音频记录中提取一个或多个字母的相关联的发音,以及在发音词典中生成字典条目。
    • 98. 发明授权
    • Determining labels from similar geographic features
    • 确定类似地理特征的标签
    • US09177069B1
    • 2015-11-03
    • US13111459
    • 2011-05-19
    • Rohan SethJoshua J. SacksMichele CovellMichael ChuShumeet BalujaDavid Marwood
    • Rohan SethJoshua J. SacksMichele CovellMichael ChuShumeet BalujaDavid Marwood
    • G06F17/30
    • G06F17/3087G06F17/30241G06F17/30333
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, including a method that comprises: determining a target geographic feature that has insufficient targeting information associated therewith, the target geographic feature defining a location; determining one or more similar geographic features to the target geographic feature, each geographic feature including targeting information, the determining based on shared excess queries that are shared between geographic features that are determined to be similar to the target geographic feature, wherein each excess query is a query associated with and exceeds an expected query count for each of the similar geographic features and the target geographic feature; attributing targeting information associated with at least one of the one or more similar geographic features to the target geographic feature; and serving content responsive to queries that relate to the target geographic feature based at least in part on the attributed targeting information.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,包括一种方法,其包括:确定与其相关联的目标信息不足的目标地理特征,所述目标地理特征定义位置; 将目标地理特征确定一个或多个相似的地理特征,每个地理特征包括目标信息,基于被确定为类似于目标地理特征的地理特征之间共享的共享超额查询的确定,其中每个过量查询是 与每个相似地理特征和目标地理特征相关联并且超过预期查询计数的查询; 将与所述一个或多个相似地理特征中的至少一个相关联的定向信息归因于所述目标地理特征; 以及至少部分地基于归因的定位信息来响应于与目标地理特征相关的查询来服务内容。
    • 99. 发明授权
    • Associating interest and disinterest keywords with similar and dissimilar users
    • 将兴趣和不感兴趣的关键字与类似和不同的用户相关联
    • US09031951B1
    • 2015-05-12
    • US13437572
    • 2012-04-02
    • Shumeet BalujaMichele CovellRohan Seth
    • Shumeet BalujaMichele CovellRohan Seth
    • G06F7/00G06F17/30
    • G06F17/30861G06F17/30035
    • Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method for propagating labels. The method comprises determining a set of labels to be associated with users of a social network, the labels including one or more designators for specifying areas of interest and areas of disinterest for a user. The method further comprises associating nodes in a graph representing the social network, where the users are represented by user nodes in the graph, and determining that a user is similar or dissimilar to another user in the social network. The method further comprises determining weights for the labels, each weight reflecting a magnitude of a contribution of an associated label to a characterization of the respective node, and propagating labels to other nodes that are related to the respective node by a relationship, including propagating labels in accordance with the determined similarity or dissimilarity.
    • 方法,系统和装置,包括在计算机可读存储介质上编码的计算机程序,包括传播标签的方法。 所述方法包括确定要与社交网络的用户相关联的一组标签,所述标签包括用于指定感兴趣区域和用户不感兴趣区域的一个或多个指示符。 该方法还包括将表示社交网络的图中的节点相关联,其中用户由图中的用户节点表示,并且确定用户与社交网络中的另一用户相似或不相似。 所述方法还包括确定所述标签的权重,每个权重反映相关标签对相应节点的表征的贡献的大小,以及通过关系将标签传播到与相应节点相关的其他节点,包括传播标签 根据确定的相似性或不相似性。