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    SYSTEMS AND METHODS FOR IDENTIFYING A MEANING OF AN AMBIGUOUS TERM IN A NATURAL LANGUAGE QUERY
    1.
    发明公开
    SYSTEMS AND METHODS FOR IDENTIFYING A MEANING OF AN AMBIGUOUS TERM IN A NATURAL LANGUAGE QUERY 审中-公开

    公开(公告)号：US20240362282A1

    公开(公告)日：2024-10-31

    申请号：US18654543

    申请日：2024-05-03

    申请人： Rovi Guides, Inc.

    发明人： Manik Malhotra ,  Ahmed Nizam Mohaideen P ,  Sashikumar Venkataraman

    IPC分类号： G06F16/9535 ,  G06F16/2455 ,  G06F16/2457

    CPC分类号： G06F16/9535 ,  G06F16/2455 ,  G06F16/24578

    摘要： Methods and systems for identifying a meaning of an ambiguous term in a natural language query. The media guidance application isolates first and second terms from a query received from a user and identifies, in a knowledge graph, first and second pluralities of candidate components associated with the first and second terms. The first and second terms each having multiple candidate components indicates the first and second terms have ambiguous meanings. The media guidance application matches each candidate component of the first and second pluralities of candidate components to form a plurality of pairs and determines strength of association for each pair in the plurality of pairs. The media guidance application filters the plurality of pairs by strength of association for each pair and determines a plurality of possible meanings based on the filtered plurality of pairs. The media guidance application selects a meaning from the plurality of possible meanings.

    DYNAMIC DATASET GENERATION SYSTEM
    2.
    发明公开
    DYNAMIC DATASET GENERATION SYSTEM 审中-公开

    公开(公告)号：US20240362232A1

    公开(公告)日：2024-10-31

    申请号：US18140772

    申请日：2023-04-28

    申请人： Signal4D, Inc.

    发明人： David Low Weld ,  Dmitry Kaplan

    IPC分类号： G06F16/2455 ,  G06F16/2453 ,  G06F16/248 ,  G08B21/18

    CPC分类号： G06F16/24568 ,  G06F16/24542 ,  G06F16/248 ,  G08B21/18

    摘要： Provided are systems and methods for generating a resultant dynamic dataset are provided. The method comprises receiving a first data stream of a first data layer associated with locations included as part of an external environment, receiving a second data stream of a second data layer, generating a first dynamic dataset from the first data stream as corresponding to the locations and a second dynamic dataset from the second data stream as corresponding to the locations, generating an output corresponding to a resultant dynamic dataset that is based on the first dynamic dataset and the second dynamic dataset, the generating of the output including associating at least one value from the first dynamic dataset and at least one value from the second dynamic dataset with at least one of the locations, and providing the output corresponding to the resultant dynamic dataset, the providing including displaying, storing, processing, and/or transmitting.

    LOCATING A VALUE THROUGH DETERMINISTIC SEARCHING
    5.
    发明公开
    LOCATING A VALUE THROUGH DETERMINISTIC SEARCHING 审中-公开

    公开(公告)号：US20240362224A1

    公开(公告)日：2024-10-31

    申请号：US18767767

    申请日：2024-07-09

    申请人： PURE STORAGE, INC

    发明人： ETHAN L. MILLER

    IPC分类号： G06F16/2455 ,  G06F16/22

    CPC分类号： G06F16/2455 ,  G06F16/2255

    摘要： A method for efficiently supporting deletion in a probabilistic data structure, and related computing or storage system are described. A processor, computing system or storage system constructs a table and a summary table for determining whether there is an entry for a value in the table. The summary table has buckets pointed to by address fields of values. Each bucket has a prefix table, a transit table, signature table and a first indicator. The system tracks deletion and addition of items of the table and summary table through the first indicators.

    Distributed data analysis for streaming data sources
    8.
    发明授权
    Distributed data analysis for streaming data sources 有权

    公开(公告)号：US12132784B1

    公开(公告)日：2024-10-29

    申请号：US18204351

    申请日：2023-05-31

    申请人： Tanium Inc.

    发明人： Ryan S. Richards ,  John R. Coates ,  James B. Evans

    IPC分类号： H04L67/1097 ,  G06F16/2455

    CPC分类号： H04L67/1097 ,  G06F16/24552

    摘要： A server system, coupled to a linear communication orbit, has a plurality of function modules. Each function module is configured to collect data from machines located at nodes of the linear communication orbit, process collected data according to a schema definition to generate result data, and store the result data in a database. Data collection requests, based on the schema definition, are sent through the linear communication orbit to collecting data from a set of machines via the linear communication orbit. In some embodiments, a central data management module of the one or more servers is configured to provide the schema definition to and receive result data reported from the function modules.

    Analysis of streaming data using deltas and snapshots
    10.
    发明授权
    Analysis of streaming data using deltas and snapshots 有权

    公开(公告)号：US12130776B2

    公开(公告)日：2024-10-29

    申请号：US18078665

    申请日：2022-12-09

    申请人： Elastic Flash Inc.

    发明人： Darshan Bharatkumar Rawal ,  Naoki Iwakami ,  Pradeep Jnana Madhavarapu

    IPC分类号： G06F16/10 ,  G06F16/11 ,  G06F16/17 ,  G06F16/174 ,  G06F16/23 ,  G06F16/2455 ,  G06F16/2458

    CPC分类号： G06F16/128 ,  G06F16/1734 ,  G06F16/1756 ,  G06F16/2322 ,  G06F16/24568 ,  G06F16/2477

    摘要： Implementations described herein relate to methods, systems, and computer-readable media to obtain snapshots used for analysis of streaming data. In some implementations, a computer-implemented method includes receiving initial data that includes a plurality of identifiers and corresponding timestamps, generating and storing a snapshot based on the initial data, wherein the snapshot includes the identifiers and a corresponding status, receiving a data stream that includes a subset of the identifiers, activity information for each identifier in the subset, and corresponding timestamps. The method further includes periodically analyzing the data stream to obtain a delta that includes an updated status for each identifier in the subset, storing the delta separate from the snapshot. The method further includes receiving a request for identifiers that are active in a particular time period, and based on the particular time period, retrieving active identifiers from the data stream, the delta, or the snapshot.