会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • PROVIDING AND MANAGING PRIVACY SCORES
    • 提供和管理隐私条款
    • US20110029566A1
    • 2011-02-03
    • US12533694
    • 2009-07-31
    • Tyrone W.A. GrandisonSherry GuoKun LiuMichael MaximilienDwayne L. RichardsonTony Sun
    • Tyrone W.A. GrandisonSherry GuoKun LiuMichael MaximilienDwayne L. RichardsonTony Sun
    • G06F17/30
    • G06Q50/01G06Q10/10
    • Methods for providing a privacy setting for a target user in a social network utilizing an electronic computing device are presented, the method including: causing the electronic computing device to retrieve a current privacy setting for a common profile item, where the common profile item corresponds with the target user and each of a number of users, and where the common profile item is one of a number of common profile items; causing the electronic computing device to calculate a common profile item sensitivity value for the common profile item based on the current privacy setting; causing the electronic computing device to calculate a common profile item visibility value for the common profile item based on the a current privacy setting and the sensitivity value for the common profile item; and causing the electronic computing device to calculate the privacy score of the target user.
    • 提出了利用电子计算设备在社交网络中为目标用户提供隐私设置的方法,所述方法包括:使得所述电子计算设备检索用于共同简档项的当前隐私设置,其中所述公用简档项与 目标用户和多个用户中的每一个,以及共同简档项是多个公共简档项中的一个; 使得所述电子计算设备基于所述当前隐私设置来计算所述公用配置文件项目的公用配置项目灵敏度值; 使得所述电子计算设备基于所述共同简档项目的当前隐私设置和灵敏度值来计算所述公用简档项目的公共简档项目可见性值; 并使电子计算设备计算目标用户的隐私分数。
    • 5. 发明申请
    • DATA INGEST OPTIMIZATION
    • 数据优化
    • US20120330972A1
    • 2012-12-27
    • US13604096
    • 2012-09-05
    • Varun BhagwanTyrone W.A. GrandisonDaniel F. Gruhl
    • Varun BhagwanTyrone W.A. GrandisonDaniel F. Gruhl
    • G06F17/30
    • G06F17/30864G06F17/30899
    • Methods and systems for optimizing the retrieval of data from multiple sources are described. A slot map including slots for the storage of data elements can be obtained. The data elements associated with the slots can be prioritized by weighting values with costs of retrieving the data elements from respective data sources. Each value can be associated with a different data element and can indicate a respective degree of importance of the associated data element. Further, the systems and methods can direct the retrieval of data elements from the respective data sources in an order in accordance with the priority of the data elements to optimize the quality of data obtainable within a critical time constraint. In addition, the retrieved data elements can be stored in corresponding slots on a storage medium.
    • 描述了用于优化从多个源检索数据的方法和系统。 可以获得包括用于存储数据元素的时隙的时隙映射。 与时隙相关联的数据元素可以通过以相应数据源检索数据元素为代价的加权值进行优先化。 每个值可以与不同的数据元素相关联,并且可以指示相关联的数据元素的相应重要程度。 此外,系统和方法可以按照数据元素的优先级顺序从相应的数据源中取出数据元素的检索,以优化在关键时间约束内可获得的数据的质量。 另外,检索到的数据元素可以存储在存储介质上的相应时隙中。
    • 6. 发明申请
    • HOLISTIC DISAMBIGUATION FOR ENTITY NAME SPOTTING
    • 用于实体名称点播的HOLISTIC DISAMBIGATION
    • US20100223292A1
    • 2010-09-02
    • US12394078
    • 2009-02-27
    • Varun BhagwanTyrone W.A. GrandisonDaniel F. GruhlJan H. Pieper
    • Varun BhagwanTyrone W.A. GrandisonDaniel F. GruhlJan H. Pieper
    • G06F17/30G06F17/27
    • G06F17/278
    • A method resolves ambiguous spotted entity names in a data corpus by determining an activation level value for each of a plurality of nodes corresponding to a single ambiguous entity name. The activation levels for each of the nodes may be modified by inputting outside domain knowledge corresponding to the nodes to increase the activation value of the nodes, spotting entity names corresponding to the nodes to increase the activation value of the nodes, searching the data corpus to spot newly posted entity names to increase the activation value of the nodes, and searching the data corpus to reduce or deactivate the activation value of the nodes by eliminating false positives. The ambiguous entity name is assigned to the node determined to have the highest activation level and is then outputted to a user.
    • 一种方法通过确定对应于单个模糊实体名称的多个节点中的每个节点的激活水平值来解决数据语料库中的歧义发现实体名称。 可以通过输入与节点对应的外部领域知识来修改每个节点的激活水平,以增加节点的激活值,发现对应于节点的实体名称以增加节点的激活值,搜索数据语料库 发现新发布的实体名称以增加节点的激活值,并且通过消除假阳性来搜索数据语料库来减少或去激活节点的激活值。 将不明确的实体名称分配给确定具有最高激活电平的节点,然后将其输出给用户。