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    Search Container
    2.
    发明申请
    Search Container 审中-公开
    搜索容器

    公开(公告)号：US20120089457A1

    公开(公告)日：2012-04-12

    申请号：US12900735

    申请日：2010-10-08

    申请人： Shashi SETH ,  Hari VASUDEV ,  Gaurav MISHRA

    发明人： Shashi SETH ,  Hari VASUDEV ,  Gaurav MISHRA

    IPC分类号： G06Q30/00 ,  G06F17/30

    CPC分类号： G06Q30/0251 ,  G06F16/9535

    摘要： Particular embodiments identify a search result in response to a search query issued by a user; select a web-based application based on the search query; construct a web page dynamically, the web page comprising: the search result; and a search container comprising an interface of the web-based application; and transmit the web page to a network device associated with the user for presentation to the user.

    摘要翻译： 具体实施例是响应于用户发出的搜索查询标识搜索结果; 基于搜索查询选择基于Web的应用程序; 动态构建网页，网页包括：搜索结果; 以及搜索容器，其包括基于web的应用的接口; 并将网页发送到与用户相关联的网络设备以呈现给用户。

    DATA TYPING WITH PROBABILISTIC MAPS HAVING IMBALANCED ERROR COSTS
    3.
    发明申请
    DATA TYPING WITH PROBABILISTIC MAPS HAVING IMBALANCED ERROR COSTS 有权
    数据类型与具有不平衡错误成本的概率性数据

    公开(公告)号：US20150081710A1

    公开(公告)日：2015-03-19

    申请号：US14486212

    申请日：2014-09-15

    申请人： Nikhil Shirish Ketkar ,  Vineet Bharti ,  Gaurav Mishra ,  Olivier Mirandette

    发明人： Nikhil Shirish Ketkar ,  Vineet Bharti ,  Gaurav Mishra ,  Olivier Mirandette

    IPC分类号： G06F17/30 ,  G06N7/00

    CPC分类号： G06N7/005 ,  G06F17/30952

    摘要： A plurality of data keys are associated with a plurality of type values; query frequencies of the data keys are known. A computer memory is divided into a plurality of tranches, each tranche including a probabilistic or non-probabilistic data structure. The data keys are stored in the tranches in accordance with their query frequencies such that, e.g., frequently queried data keys are stored in data structures having higher accuracy and infrequently queried keys are stored in data structure having less accuracy (and consequently require less memory space).

    摘要翻译： 多个数据键与多个类型值相关联; 查询数据键的频率是已知的。 计算机存储器被分成多个段，每个段包括概率或非概率数据结构。 数据密钥根据其查询频率存储在分段中，使得例如经常查询的数据密钥存储在具有较高精度的数据结构中，并且不经常查询的密钥存储在具有较少精度的数据结构中（并且因此需要更少的存储空间 ）。

    COMPRESSED SET REPRESENTATION FOR SETS AS MEASURES IN OLAP CUBES
    4.
    发明申请
    COMPRESSED SET REPRESENTATION FOR SETS AS MEASURES IN OLAP CUBES 审中-公开
    用于设置OLAP CUBES中的措施的压缩设置表示

    公开(公告)号：US20140067751A1

    公开(公告)日：2014-03-06

    申请号：US13963522

    申请日：2013-08-09

    申请人： Nikhil Shirish Ketkar ,  Gaurav Mishra ,  Jaskaran Singh Bawa ,  Mark Crovella

    发明人： Nikhil Shirish Ketkar ,  Gaurav Mishra ,  Jaskaran Singh Bawa ,  Mark Crovella

    IPC分类号： G06F17/30

    CPC分类号： G06F16/254 ,  G06F16/24568 ,  G06F16/2462

    摘要： A cardinality of an incoming data stream is maintained in real time; the cardinality is maintained in a data structure that is represented by an unsorted list at low cardinalities, a linear counter at medium cardinalities, and a PCSA at high cardinalities. The conversion to the linear counter makes use of the data in the unsorted list, after which that data is discarded. The conversion to the PCSA uses only the data in the linear counter.

    摘要翻译： 输入数据流的基数实时保持; 基数保持在由低基数的未排序的列表表示的数据结构中，中间基数的线性计数器和高基数的PCSA。 转换为线性计数器使用未排序列表中的数据，之后丢弃该数据。 到PCSA的转换仅使用线性计数器中的数据。

    Method and system for smart data input relay
    6.
    发明授权
    Method and system for smart data input relay 有权

    公开(公告)号：US09940352B1

    公开(公告)日：2018-04-10

    申请号：US14988596

    申请日：2016-01-05

    申请人： Rohit Satapathy ,  Sapeksha Vemulapati ,  Kapil Gupta ,  Vikram Saxena ,  Gaurav Mishra

    发明人： Rohit Satapathy ,  Sapeksha Vemulapati ,  Kapil Gupta ,  Vikram Saxena ,  Gaurav Mishra

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30424 ,  G06F17/30554 ,  G06F17/3056

    摘要： Systems and methods are disclosed to enable delivering a contextually relevant action for an underlying focal point of a communication (an “entity”) between users over computing devices. Delivery of a contextually relevant action entails identifying the entity and associated descriptors or amplifying words in the communication surrounding the entity, reviewing databases of actions taken with respect to the identified entity and associated descriptors, reviewing the functions and features of platforms and applications supported on users' computing devices, computing correlations between the actions taken and entity involved and computing devices' available functions and features, and selecting a contextually relevant action from the computed correlation. The selected contextually relevant action is displayed simply as an executable action for a user to take or as a description of the entity or as a series of possible executable actions to take.