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    • 1. 发明申请
    • SMOOTHING CLICKTHROUGH DATA FOR WEB SEARCH RANKING
    • 用于网络搜索排名的平滑点击数据
    • US20100318531A1
    • 2010-12-16
    • US12481593
    • 2009-06-10
    • Jianfeng GaoXiao LiKefeng DengWei YuanJian-Yun Nie
    • Jianfeng GaoXiao LiKefeng DengWei YuanJian-Yun Nie
    • G06F17/30G06F15/18
    • G06F16/337G06F16/335G06F16/355
    • Described is a technology for using clickthrough data (e.g., based on data of a query log) in learning a ranking model that may be used in online ranking of search results. Clickthrough data, which is typically sparse (because many documents are often not clicked or rarely clicked), is processed/smoothed into smoothed clickthrough streams. The processing includes determining similar queries for a document with incomplete (insufficient) clickthrough data to provide expanded clickthrough data for that document, and/or by estimating at least one clickthrough feature for a document when that document has missing (e.g., no) clickthrough data. Similar queries may be determined by random walk clustering and/or session-based query analysis. Features extracted from the clickthrough streams may be used to provide a ranking model which may then be used in online ranking of documents that are located with respect to a query.
    • 描述了一种用于在学习可用于搜索结果的在线排名中的排名模型的点击数据(例如,基于查询日志的数据)的技术。 点击数据通常是稀疏的(因为许多文档经常没有点击或很少点击)被处理/平滑到平滑的点击流中。 该处理包括确定具有不完整(不足够的)点击数据的文档的类似查询,以便为该文档提供扩展的点击数据,和/或通过在该文档缺少(例如,否))点击数据时估计文档的至少一个点击特征 。 可以通过随机游走聚类和/或基于会话的查询分析来确定类似的查询。 从点击流中提取的特征可以用于提供排序模型,然后可以在相对于查询定位的文档的在线排名中使用排名模型。
    • 2. 外观设计
    • Nasal irrigator
    • USD1027168S1
    • 2024-05-14
    • US29834084
    • 2022-04-08
    • Xiao Li
    • Xiao Li
    • FIG. 1 is a front, right, and top perspective view of a nasal irrigator, showing my design.
      FIG. 2 is a front elevation view thereof.
      FIG. 3 is a rear elevation view thereof.
      FIG. 4 is a left side elevation view thereof.
      FIG. 5 is a right side elevation view thereof.
      FIG. 6 is a top plan view thereof.
      FIG. 7 is a bottom plan view thereof.
      FIG. 8 is a partial enlarged view of an area labeled 8 in FIG. 1 comprising a groove part; and,
      FIG. 9 is a cross-sectional view of nasal irrigator of FIG. 1, taken along section line 9-9 as depicted in FIG. 2.
      The broken lines shown in the drawings are included for the purpose of illustrating portions of the nasal irrigator that form no part of the claimed design.
      Dot-dash broken lines framing portions of the claimed design that are illustrated for enlargements form no part of the claimed design.
    • 5. 发明授权
    • Method and node for automatically exchanging network service provider information
    • 自动交换网络服务提供商信息的方法和节点
    • US09203920B2
    • 2015-12-01
    • US13603630
    • 2012-09-05
    • Di LiuXiao LiRuth Pallares Del Egido
    • Di LiuXiao LiRuth Pallares Del Egido
    • G06F15/177H04L29/08
    • H04L67/28H04L67/327
    • A method is provided for automatically exchanging network service provider information between two sets of network service providers. The method comprises configuring at least one address of a proxy function of a second set of network service providers for a proxy function of a first set of network service providers; sending network service provider information of the first set of network service providers to the proxy function of the second set of network service providers with the at least one address of the proxy function of the second set of network service providers; and receiving network service provider information of the second set of network service providers from the proxy function of the second set of network service providers. The network service provider information includes information for addressing the network service provider and ID of service provided by the network service provider.
    • 提供了一种用于在两组网络服务提供商之间自动交换网络服务提供商信息的方法。 该方法包括为第一组网络服务提供商的代理功能配置第二组网络服务提供商的代理功能的至少一个地址; 将第一组网络服务提供商的网络服务提供商信息与第二组网络服务提供商的代理功能的至少一个地址发送到第二组网络服务提供商的代理功能; 以及从所述第二组网络服务提供商的代理功能接收所述第二组网络服务提供商的网络服务提供商信息。 网络服务提供商信息包括用于寻址网络服务提供商的信息和由网络服务提供商提供的服务的ID。
    • 6. 发明授权
    • Structured models of repetition for speech recognition
    • 用于语音识别的重复结构化模型
    • US08965765B2
    • 2015-02-24
    • US12233826
    • 2008-09-19
    • Geoffrey G. ZweigXiao LiDan BohusAlejandro AceroEric J. Horvitz
    • Geoffrey G. ZweigXiao LiDan BohusAlejandro AceroEric J. Horvitz
    • G10L15/00G10L15/18
    • G10L15/1822
    • Described is a technology by which a structured model of repetition is used to determine the words spoken by a user, and/or a corresponding database entry, based in part on a prior utterance. For a repeated utterance, a joint probability analysis is performed on (at least some of) the corresponding word sequences as recognized by one or more recognizers) and associated acoustic data. For example, a generative probabilistic model, or a maximum entropy model may be used in the analysis. The second utterance may be a repetition of the first utterance using the exact words, or another structural transformation thereof relative to the first utterance, such as an extension that adds one or more words, a truncation that removes one or more words, or a whole or partial spelling of one or more words.
    • 描述了一种技术,通过该技术,部分地基于先前的话语,使用结构化重复模型来确定用户说出的单词和/或相应的数据库条目。 对于重复的话语,对由一个或多个识别器识别的相应字序列(和至少一些)和相关联的声学数据进行联合概率分析。 例如,可以在分析中使用生成概率模型或最大熵模型。 第二个发音可以是使用精确的单词或相对于第一个发音的其他结构变换的第一个发音的重复,例如添加一个或多个单词的扩展,删除一个或多个单词的截断或整个 或一个或多个单词的部分拼写。
    • 8. 发明申请
    • IP FRAGMENTATION IN GTP TUNNEL
    • GTP隧道的IP分段
    • US20130279464A1
    • 2013-10-24
    • US13996231
    • 2010-12-21
    • Wei GuLei GuoXiao LiDi LiuLirong SunQi Xia
    • Wei GuLei GuoXiao LiDi LiuLirong SunQi Xia
    • H04L12/56
    • H04L45/74H04L47/36H04W28/06H04W76/12H04W80/04
    • The present invention relates to a method for improving IP fragmentation and transmission of user payload between a User Equipment, UE (10), and a Peer Node, PN (14). The payload is transmitted through a transmission path enabled by at least a first (17,18) and a second (17,18) established tunnel, said tunnels connecting a first (11), (13) and a second (11, 13) node in a Packet Core Network, PCN. The method comprises the steps of: The first node (11,13) fragments (19) at least one received payload packet (15) into fragments (16) on the basis of a minimum Maximum Transmission Unit, MTU, for an upper IP layer of the transmission path. The first node (11,13) encapsulates (20) said fragments at the entry of the first tunnel (17, 18). What particularly characterizes the method is that it further comprises a step where the first node (11,13) determines (21) the MTU for the upper IP layer of the transmission path on the basis of an MTU of a lower IP layer of the transmission path and on the basis of the size of at least one additional tunnel header for the encapsulated fragments (16).
    • 本发明涉及一种用于改善用户设备,UE(10)和对等节点(PN)(14)之间的用户有效载荷的IP分段和传输的方法。 有效载荷通过至少第一(17,18)和第二(17,18)建立的隧道启用的传输路径传输,所述隧道连接第一(11),(13)和第二(11,13) 分组核心网络中的节点,PCN。 该方法包括以下步骤:第一节点(11,13)根据用于上层IP的最小最大传输单元MTU将至少一个接收到的有效载荷分组(15)分段(19)成片段(16) 的传输路径。 第一节点(11,13)在第一隧道(17,18)的入口处封装(20)所述碎片。 该方法的特征在于,其还包括步骤,其中第一节点(11,13)基于传输的较低IP层的MTU来确定(21)传输路径的上层IP的MTU 并且基于用于封装的片段(16)的至少一个附加隧道头部的大小。
    • 10. 发明授权
    • Constructing a classifier for classifying queries
    • 构造一个用于分类查询的分类器
    • US08407214B2
    • 2013-03-26
    • US12145508
    • 2008-06-25
    • Xiao LiYe-Yi Wang
    • Xiao LiYe-Yi Wang
    • G06F17/30
    • G06F17/30672
    • To construct a classifier, a data structure correlating queries to items identified by the queries is received, where the data structure contains initial labeled queries that have been labeled with respect to predetermined classes, and unlabeled queries that have not been labeled with respect to the predetermined classes. The data structure is used to label at least some of the unlabeled queries with respect to the predetermined classes. Queries in the data structure that have been labeled with respect to the predetermined classes are used as training data to train the classifier.
    • 为了构建分类器,接收将查询与由查询识别的项目相关联的数据结构,其中数据结构包含已经针对预定类别标记的初始标记查询,以及未标记关于预定类别的未标记查询 课程 该数据结构用于标记关于预定类别的至少一些未标记查询。 已经将关于预定类标记的数据结构中的查询用作训练数据以训练分类器。