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公开(公告)号：US10884805B2
公开(公告)日：2021-01-05
申请号：US15898030
申请日：2018-02-15
Applicant: Amazon Technologies, Inc.
Inventor： Wei Huang , Matt Nakoneczny
Abstract: Systems and methods are described for the collection and transmission of virtual machine resource operations information. Individual agents on virtual machine resources collect and store operations information in accordance with a current operations information collection configuration. The individual agents will initiate a transmission of the collected operations information. Responsive to the receipt of the transmission of the collected operations information, the monitoring processing service calculates a hierarchy of anomaly scores utilizing machine learning techniques. The monitoring processing service can generate a processing result.
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公开(公告)号：US11475883B1
公开(公告)日：2022-10-18
申请号：US16425101
申请日：2019-05-29
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chikkanayakanahalli Mallikarjuniah , Priya Rao Chagaleti , Shiladitya Roy , Christopher Forbes Will , Cole Ira Brendel , Wei Huang , Sarthak Anand
Abstract: Techniques for generating a personalization value that measures how tailored certain system interactions are for a user are described. A dialog exchange between a user and a skill may be determined, with the dialog exchange including user input data and system output data. It may be determined that the system output data was generated without respect to at least one previous user input or system output of the dialog exchanges. Based on this, a personalization value may be generated and sent to the skill.
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公开(公告)号：US11238241B1
公开(公告)日：2022-02-01
申请号：US16425164
申请日：2019-05-29
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chikkanayakanahalli Mallikarjuniah , Priya Rao Chagaleti , Shiladitya Roy , Christopher Forbes Will , Cole Ira Brendel , Wei Huang , Sarthak Anand
Abstract: The present disclosure provides various metrics that may be used to generate a score representing a conversational quality of a user/computing system dialog. User input data, corresponding to a dialog with a natural language processing system, may be determined and associated with a dialog identifier. System output data, corresponding to the dialog, may also be determined and associated with the dialog identifier. After the system output data is output to a user, the user input data and system output data may be processed to determine a score corresponding to the dialog exchange.
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公开(公告)号：US11741971B1
公开(公告)日：2023-08-29
申请号：US17363718
申请日：2021-06-30
Applicant: Amazon Technologies, Inc.
Inventor： Longhua You , Yingwei Li , Yan Cui , Mayank Thakore , Tianbin Jiang , Chunzhang Mo , Wei Huang , Shuo Li , Ross William Snider
CPC classification number: G10L19/00 , G10L15/08 , G10L2015/088
Abstract: Techniques for improving systems for tracking data access are provided. A system for accessing and encoding data may, upon receiving a request for data, determine whether the data needs to be encoded for the purpose of tracking access to the data. If the system determines that the data needs to be encoded, the system may further determine the information which is to be encoded into the data, such as a client ID/user ID, timestamp, etc. The system may further determine an encoding scheme for the data such as a least significant bit algorithm. The system may further determine encoding data based on the encoding scheme and the information which is to be encoded into the data. The system may also encode the encoding data into the data based on the encoding scheme.
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公开(公告)号：US11232784B1
公开(公告)日：2022-01-25
申请号：US16425203
申请日：2019-05-29
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chikkanayakanahalli Mallikarjuniah , Priya Rao Chagaleti , Shiladitya Roy , Christopher Forbes Will , Cole Ira Brendel , Wei Huang , Sarthak Anand
IPC: G10L15/22 , G10L15/18 , G10L15/30 , G10L15/08 , G10L15/14 , G10L15/16 , G06F40/30 , G10L15/01 , G06F40/35
Abstract: Techniques for generating a conformance score for a system/user dialog are described. A conformance score may represent a degree to which output data, provided by a skill, conforms to various policies (e.g., the data includes content appropriate for the age of the user, the data does not include profanity, etc.). User input data and system output data, corresponding to a dialog exchange between a user and a skill, ma be determined. A user type associated with the dialog exchange may also be determined. Based on the user type and the system output data, it may be determined that one or more filtering resources are to be assigned to process future data, received from the skill, prior to the future data being presented to a user.
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Patent Agency Ranking
公开(公告)号：US10419503B1
公开(公告)日：2019-09-17
申请号：US15587257
申请日：2017-05-04
Applicant: Amazon Technologies, Inc.
Inventor： Emmanuel Pierre Devillard , Wei Huang
Abstract: A near real time data tailing mechanism can enable data, received on a stream, to be directed to a specified location independent of any processing and persistent storage of that data. A customer can submit a tail request that can be received to a front end of a data management service. When a request is received to store data to the persistent storage, a determination is made that the front end has registered a tail for that data stream and the host receiving the data can forward a copy of the data to the front end, which can cause the data to be transmitted to the specified location. One or more filters can be applied in order to cause only specific data to be transmitted for the tail request. A best effort approach provides an overview of the data in near real time.
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公开(公告)号：US20190250950A1
公开(公告)日：2019-08-15
申请号：US15898030
申请日：2018-02-15
Applicant: Amazon Technologies, Inc.
Inventor： Wei Huang , Matt Nakoneczny
CPC classification number: G06F9/5005 , G06N20/00
Abstract: Systems and methods are described for the collection and transmission of virtual machine resource operations information. Individual agents on virtual machine resources collect and store operations information in accordance with a current operations information collection configuration. The individual agents will initiate a transmission of the collected operations information. Responsive to the receipt of the transmission of the collected operations information, the monitoring processing service calculates a hierarchy of anomaly scores utilizing machine learning techniques. The monitoring processing service can generate a processing result.
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公开(公告)号：US10331722B1
公开(公告)日：2019-06-25
申请号：US15607162
申请日：2017-05-26
Applicant: Amazon Technologies, Inc.
Inventor： Bhawana Goel , Wei Huang , Robert Mark Waugh
Abstract: A dynamic clustering algorithm is used to process log data to generate pattern information. A word frequency map may be generated and/or updated based at least in part on entries of the log data. The word frequency map may indicate occurrences of words in the log data. In addition a modified word frequency map may be determined based at least in part on the frequency of adjacent words as indicated in the word frequency map. Based at least in part on the modified word frequency map a line threshold is determined. The line threshold indicating a common frequency indicated in the modified word frequency map. The line threshold may then be used to generate a pattern for an entry of the log data.
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公开(公告)号：US11295224B1
公开(公告)日：2022-04-05
申请号：US15373369
申请日：2016-12-08
Applicant: Amazon Technologies, Inc.
Inventor： Wei Huang , Nitin Kesarwani , Robert Mark Waugh , Hasan Nuzhet Atay
Abstract: A method includes obtaining time series data for a usage or performance metric for computing resources in a service provider network comprising a plurality of observations recorded in a plurality of respective time steps. A prediction error is determined for a previous prediction of an observation in the time series data. The prediction error is used to update a standard deviation of a set of predication errors for the usage or performance metric. The standard deviation and the prediction error are then used to update a confidence coefficient. A prediction limit for the usage or performance metric is then determined based on an expected value, the confidence coefficient, and the standard deviation. One or more events may be generated based on the prediction limit, which may be used to trigger a reconfiguration or auto-scaling of the computing resources.
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公开(公告)号：US11074907B1
公开(公告)日：2021-07-27
申请号：US16425141
申请日：2019-05-29
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chikkanayakanahalli Mallikarjuniah , Priya Rao Chagaleti , Shiladitya Roy , Christopher Forbes Will , Cole Ira Brendel , Wei Huang , Sarthak Anand
Abstract: Techniques for generating a prompt coverage score, which measures an extent to which data output to a user during a dialog is repetitive and monotonous, are described. User input data and system output, corresponding to a dialog exchange between a user and a skill, may be determined. A portion of the system output data, corresponding to a system prompt representing default output data, may be determined. A first number, representing possible variants of the prompt, may be determined along with a second number, representing variants of the prompt output during the dialog exchange. A prompt coverage score may be determined based on the first and second numbers.
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