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. 发明授权
    • Context-based interests in computing environments and systems
    • 计算环境和系统中基于上下文的兴趣
    • US08554767B2
    • 2013-10-08
    • US12343395
    • 2008-12-23
    • Yu SongSangoh JeongDoreen ChengSwaroop S. Kalasapur
    • Yu SongSangoh JeongDoreen ChengSwaroop S. Kalasapur
    • G06F7/00
    • G06Q30/02
    • Techniques for determining an interest in an object of interest in a given situation are disclosed. Multiple situation-based interest rating components can be provided for various situations. Each situation-based interest rating component can include an interest value indicative of interest in an object of interest in one of the situations. An input situation can then be obtained. One of the situation-based interest rating components can be identified matching an input situation. The relevance of one or more of the other situation-based interest rating components to the identified matching component can then be determined. This can, for example, be done by computing one or more distances between only the respective situation-based portions of the matching situation-based interest rating component and one or more of the other components, or based on the interest value-based portion of each component, or both.
    • 公开了在给定情况下确定感兴趣对象的兴趣的技术。 可以为各种情况提供多种基于情境的兴趣等级组件。 每种基于情境的利益分级组件可以包括在一种情况下指示感兴趣对象中的兴趣的兴趣值。 然后可以获得输入情况。 可以根据输入情况识别基于情境的兴趣评估组件之一。 然后可以确定一个或多个其他基于情境的兴趣评估组件与所识别的匹配组件的相关性。 例如,这可以通过仅计算匹配的基于状况的兴趣等级分量的各个基于状况的部分与一个或多个其它组件之间的一个或多个距离来实现,或者基于基于兴趣度的部分 每个组件或两者。
    • 2. 发明授权
    • Clustering-based interest computation
    • 基于聚类的兴趣计算
    • US07979426B2
    • 2011-07-12
    • US12371419
    • 2009-02-13
    • Sangoh JeongYu SongDoreen ChengSwaroop S. Kalasapur
    • Sangoh JeongYu SongDoreen ChengSwaroop S. Kalasapur
    • G06F7/00G06N5/02
    • G06F17/30702
    • Data relating to usage patterns of the user are stored. The data includes a context portion having information as to the context in which items were used and an interest rating portion indicative of an interest of the user in one or more objects of interest. The data is clustered into clusters of data points. For each of the clusters, a centroid is determined. The centroid includes a context portion and an interest rating portion. A current context of the user is received. Clusters are selected by comparing a data point representing the current context with the context portion of one or more centroids. Based on the selected clusters, an interest rating is computed. The computed interest rating indicates an interest of the user in one of the one or more objects of interest, given the current context.
    • 存储与用户的使用模式有关的数据。 数据包括具有关于使用项目的上下文的信息的上下文部分和指示用户在一个或多个感兴趣对象中的兴趣的兴趣评价部分。 数据被聚集成数据点簇。 对于每个聚类,确定质心。 质心包括上下文部分和兴趣等级部分。 接收到用户的当前上下文。 通过将表示当前上下文的数据点与一个或多个质心的上下文部分进行比较来选择集群。 基于所选择的集群,计算利息评级。 计算的兴趣等级在给定当前上下文的情况下,表示用户在感兴趣的一个或多个对象之一中的兴趣。
    • 3. 发明申请
    • SITUATION-AWARE PATTERN EXTRACTION AND RECOMMENDATION
    • 情况特征提取和建议
    • US20090177689A1
    • 2009-07-09
    • US12406792
    • 2009-03-18
    • Yu SongDoreen ChengSangoh JeongSwaroop S. Kalasapur
    • Yu SongDoreen ChengSangoh JeongSwaroop S. Kalasapur
    • G06F17/30
    • G06Q30/02
    • A method for determining user interests is provided, the method comprising: storing data items relating to usage patterns of the user, wherein the data items include an interest portion and a context portion; grouping the data items into context groups, each context group having data items with related context portions; for each context group, determining if the number of data items in the context group is greater than or equal to a first threshold; creating a first partition having context groups having a number of data items greater than or equal to the first threshold; averaging the ratings for interests in the data items in the context groups in the first partition, resulting in each context group in the first partition being a cluster; and deriving a user's interest by comparing a current context to a context group in the first partition.
    • 提供了一种用于确定用户兴趣的方法,所述方法包括:存储与所述用户的使用模式相关的数据项,其中所述数据项包括兴趣部分和上下文部分; 将数据项分组成上下文组,每个上下文组具有具有相关上下文部分的数据项; 对于每个上下文组,确定上下文组中的数据项的数量是否大于或等于第一阈值; 创建具有上下文组的第一分区,所述上下文组具有大于或等于所述第一阈值的多个数据项; 对第一分区中的上下文组中的数据项的兴趣的评级进行平均,导致第一分区中的每个上下文组是集群; 以及通过将当前上下文与第一分区中的上下文组进行比较来得出用户的兴趣。
    • 5. 发明申请
    • SHARING INPUT/OUTPUT (I/O) RESOURCES ACROSS MULTIPLE COMPUTING SYSTEMS AND/OR ENVIRONMENTS
    • 通过多个计算机系统和/或环境共享输入/输出(I / O)资源
    • US20100293559A1
    • 2010-11-18
    • US12464507
    • 2009-05-12
    • Onur AciicmezDoreen ChengSwaroop S. KalasapurYu SongXinwen ZhangVictoria S. Coleman
    • Onur AciicmezDoreen ChengSwaroop S. KalasapurYu SongXinwen ZhangVictoria S. Coleman
    • G06F9/46G06F3/00
    • G06F9/4411
    • Techniques for achieving Input/Output I/O coalition across multiple computing systems and/or environments (e.g., computing devices) are disclosed. I/O coalition can be achieved by allowing one or more internal I/O devices of a first computing device to be effectively shared with a second computing device while one or more I/O devices of the second computing device is effectively shared with the first computing device. An Input-Output Coalition Management (IOCM) system can be provided for each the computing devices to facilitate I/O coalition between them. An IOCM system can, for example, be provided as Virtual Input-Output Computing Environment (VIOCE). By way of example, one or more Virtual Machines (VMs) can be provided to effectively support one or more Virtual Device Drivers (VDDs). An IOCM system can also be provided as and/or by an Operating System (OS). Furthermore, an IOCM system of a first computing device can be operable to switch between: (i) use of a first I/O device of the first computing device, (ii) use of a second I/O device of a second computing device, and (iii) use of a third I/O device of a third computing device.
    • 公开了用于实现跨多个计算系统和/或环境(例如,计算设备)的输入/输出I / O联盟的技术。 可以通过允许第一计算设备的一个或多个内部I / O设备与第二计算设备有效地共享来实现I / O联盟,而第二计算设备的一个或多个I / O设备被有效地与第一计算设备共享 计算设备。 可以为每个计算设备提供输入 - 输出联盟管理(IOCM)系统,以便于它们之间的I / O联盟。 例如,IOCM系统可以作为虚拟输入 - 输出计算环境(VIOCE)提供。 作为示例,可以提供一个或多个虚拟机(VM)以有效地支持一个或多个虚拟设备驱动器(VDD)。 IOCM系统也可以由操作系统(OS)提供。 此外,第一计算设备的IOCM系统可以用于在以下之间切换:(i)使用第一计算设备的第一I / O设备,(ii)使用第二计算设备的第二I / O设备 ,和(iii)使用第三计算设备的第三I / O设备。
    • 6. 发明申请
    • PERSONAL MASHUPS
    • 个人手表
    • US20100036814A1
    • 2010-02-11
    • US12400687
    • 2009-03-09
    • Swaroop S. KALASAPURDoreen CHENGYu SONGSangoh JEONG
    • Swaroop S. KALASAPURDoreen CHENGYu SONGSangoh JEONG
    • G06F17/30G06F7/00
    • G06F17/3089
    • In a first embodiment of the present invention, a method for automated creation of a mashup is provided, the method comprising: receiving data needs of a user; identifying sources of data to satisfy the data needs by comparing the data needs to available data sources; retrieving metadata relating to the identified sources of data from a source metadata store; identifying services to satisfy the data needs by comparing the retrieved metadata to available services; retrieving metadata related to the identified services from a service metadata store; and generating a plan for supplying data from the identified sources of data to the identified services based on the retrieved metadata from the source metadata source and the retrieved metadata from the service metadata source.
    • 在本发明的第一实施例中,提供了一种用于自动创建混搭的方法,所述方法包括:接收用户的数据需求; 通过将数据需求与可用数据源进行比较来识别数据来满足数据需求; 从源元数据存储中检索与所识别的数据源相关的元数据; 通过将检索到的元数据与可用服务进行比较来识别服务以满足数据需求; 从服务元数据存储检索与所识别的服务有关的元数据; 以及基于来自源元数据源的检索到的元数据和来自服务元数据源的检索到的元数据,生成从所识别的数据源向所识别的服务提供数据的计划。
    • 7. 发明授权
    • Personal mashups
    • 个人混搭
    • US08538948B2
    • 2013-09-17
    • US13347594
    • 2012-01-10
    • Swaroop S. KalasapurDoreen ChengYu SongSangoh Jeong
    • Swaroop S. KalasapurDoreen ChengYu SongSangoh Jeong
    • G06F17/30G06F17/00
    • G06F17/3089
    • In a first embodiment of the present invention, a method for automated creation of a mashup is provided, the method comprising: receiving data needs of a user; identifying sources of data to satisfy the data needs by comparing the data needs to available data sources; retrieving metadata relating to the identified sources of data from a source metadata store; identifying services to satisfy the data needs by comparing the retrieved metadata to available services; retrieving metadata related to the identified services from a service metadata store; and generating a plan for supplying data from the identified sources of data to the identified services based on the retrieved metadata from the source metadata source and the retrieved metadata from the service metadata source.
    • 在本发明的第一实施例中,提供了一种用于自动创建混搭的方法,所述方法包括:接收用户的数据需求; 通过将数据需求与可用数据源进行比较来识别数据来满足数据需求; 从源元数据存储中检索与所识别的数据源相关的元数据; 通过将检索到的元数据与可用服务进行比较来识别服务以满足数据需求; 从服务元数据存储检索与所识别的服务有关的元数据; 以及基于来自源元数据源的检索到的元数据和来自服务元数据源的检索到的元数据,生成从所识别的数据源向所识别的服务提供数据的计划。
    • 10. 发明授权
    • Semantics-based interests in computing environments and systems
    • 计算环境和系统中基于语义的兴趣
    • US08175902B2
    • 2012-05-08
    • US12343393
    • 2008-12-23
    • Yu SongSangoh JeongDoreen ChengSwaroop S. Kalasapur
    • Yu SongSangoh JeongDoreen ChengSwaroop S. Kalasapur
    • G06Q10/00G06Q30/00F41G9/00
    • G06Q30/02G06Q10/063G06Q30/0242
    • An input situation can be represented by at least a first context variable. Data that includes interest values for multiple context variables can be provided and obtained. The obtained data can include a first data pertaining to the input situation and a second data pertaining to one or more other situations. It can be determined whether the first context variable is associated with a discrete range of values or a continuous range of values. At least a portion of data pertaining to the situations can be determined to be proximate data when the first context variable is associated with a continuous range of values. Based on the input situation and the proximate data, an interest value for the first input situation can be determined as a prediction of the interest in the input situation.
    • 输入情况可以由至少第一上下文变量表示。 可以提供并获得包含多个上下文变量的兴趣值的数据。 获得的数据可以包括关于输入情况的第一数据和与一个或多个其他情况有关的第二数据。 可以确定第一上下文变量是否与值的离散范围或值的连续范围相关联。 当第一上下文变量与值的连续范围相关联时,与情况有关的至少一部分数据可被确定为邻近数据。 基于输入情况和近似数据,可以将第一输入情况的兴趣值确定为对输入情况的兴趣的预测。