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公开(公告)号：US20200302018A1
公开(公告)日：2020-09-24
申请号：US16362187
申请日：2019-03-22
Applicant: ServiceNow, Inc.
Inventor： Omer Anil Turkkan , Firat Karakusoglu , Sriram Palapudi
IPC: G06F17/27
Abstract: Systems and methods are provided to compare a target sample of text to a set of textual records, each textual record including a sample of text and an indication of one or more segments of text within the sample of text. Semantic similarity values between the target sample of text and each of the textual records are determined. Determining a particular semantic similarity value between the target sample of text and a particular textual record of the corpus includes: (i) determining individual semantic similarity values between the target sample of text and each of the segments of text indicated by the particular textual record, and (ii) generating the particular semantic similarity value between the target sample of text and the particular textual record based on the individual semantic similarity values. A textual record is then selected based on the semantic similarities.
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公开(公告)号：US20220012431A1
公开(公告)日：2022-01-13
申请号：US17448667
申请日：2021-09-23
Applicant: ServiceNow, Inc.
Inventor： Omer Anil Turkkan , Firat Karakusoglu , Sriram Palapudi
IPC: G06F40/30 , G06F40/284 , G06F40/205
Abstract: Systems and methods are provided to compare a target sample of text to a set of textual records, each textual record including a sample of text and an indication of one or more segments of text within the sample of text. Semantic similarity values between the target sample of text and each of the textual records are determined. Determining a particular semantic similarity value between the target sample of text and a particular textual record of the corpus includes: (i) determining individual semantic similarity values between the target sample of text and each of the segments of text indicated by the particular textual record, and (ii) generating the particular semantic similarity value between the target sample of text and the particular textual record based on the individual semantic similarity values. A textual record is then selected based on the semantic similarities.
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公开(公告)号：US10445661B2
公开(公告)日：2019-10-15
申请号：US15717796
申请日：2017-09-27
Applicant: ServiceNow, Inc.
Inventor： Nikhil Bendre , Fernando Ros , Kannan Govindarajan , Baskar Jayaraman , Aniruddha Thakur , Sriram Palapudi , Firat Karakusoglu
Abstract: A network system may include a plurality of trainer devices and a computing system disposed within a remote network management platform. The computing system may be configured to: receive, from a client device of a managed network, information indicating (i) training data that is to be used as basis for generating a machine learning (ML) model and (ii) a target variable to be predicted using the ML model; transmit an ML training request for reception by one of the plurality of trainer devices; provide the training data to a particular trainer device executing a particular ML trainer process that is serving the ML training request; receive, from the particular trainer device, the ML model that is generated based on the provided training data and according to the particular ML trainer process; predict the target variable using the ML model; and transmit, to the client device, information indicating the target variable.
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公开(公告)号：US12299397B2
公开(公告)日：2025-05-13
申请号：US17448667
申请日：2021-09-23
Applicant: ServiceNow, Inc.
Inventor： Omer Anil Turkkan , Firat Karakusoglu , Sriram Palapudi
IPC: G06F40/30 , G06F40/205 , G06F40/284
Abstract: Systems and methods are provided to compare a target sample of text to a set of textual records, each textual record including a sample of text and an indication of one or more segments of text within the sample of text. Semantic similarity values between the target sample of text and each of the textual records are determined. Determining a particular semantic similarity value between the target sample of text and a particular textual record of the corpus includes: (i) determining individual semantic similarity values between the target sample of text and each of the segments of text indicated by the particular textual record, and (ii) generating the particular semantic similarity value between the target sample of text and the particular textual record based on the individual semantic similarity values. A textual record is then selected based on the semantic similarities.
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公开(公告)号：US20200005187A1
公开(公告)日：2020-01-02
申请号：US16506827
申请日：2019-07-09
Applicant: ServiceNow, Inc.
Inventor： Nikhil Bendre , Fernando Ros , Kannan Govindarajan , Baskar Jayaraman , Aniruddha Thakur , Sriram Palapudi , Firat Karakusoglu
Abstract: A network system may include a plurality of trainer devices and a computing system disposed within a remote network management platform. The computing system may be configured to: receive, from a client device of a managed network, information indicating (i) training data that is to be used as basis for generating a machine learning (ML) model and (ii) a target variable to be predicted using the ML model; transmit an ML training request for reception by one of the plurality of trainer devices; provide the training data to a particular trainer device executing a particular ML trainer process that is serving the ML training request; receive, from the particular trainer device, the ML model that is generated based on the provided training data and according to the particular ML trainer process; predict the target variable using the ML model; and transmit, to the client device, information indicating the target variable.
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Patent Agency Ranking
公开(公告)号：US20180322417A1
公开(公告)日：2018-11-08
申请号：US15849356
申请日：2017-12-20
Applicant: ServiceNow, Inc.
Inventor： Nikhil Bendre , Fernando Ros , Kannan Govindarajan , Baskar Jayaraman , Aniruddha Thakur , Sriram Palapudi , Firat Karakusoglu
Abstract: A network system may include a plurality of trainer devices and a computing system disposed within a remote network management platform. The computing system may be configured to: receive, from a client device of a managed network, information indicating (i) training data that is to be used as basis for generating a machine learning (ML) model and (ii) a target variable to be predicted using the ML model; transmit an ML training request for reception by one of the plurality of trainer devices; provide the training data to a particular trainer device executing a particular ML trainer process that is serving the ML training request; receive, from the particular trainer device, the ML model that is generated based on the provided training data and according to the particular ML trainer process; predict the target variable using the ML model; and transmit, to the client device, information indicating the target variable.
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公开(公告)号：US11620571B2
公开(公告)日：2023-04-04
申请号：US16506827
申请日：2019-07-09
Applicant: ServiceNow, Inc.
Inventor： Nikhil Bendre , Fernando Ros , Kannan Govindarajan , Baskar Jayaraman , Aniruddha Thakur , Sriram Palapudi , Firat Karakusoglu
Abstract: A network system may include a plurality of trainer devices and a computing system disposed within a remote network management platform. The computing system may be configured to: receive, from a client device of a managed network, information indicating (i) training data that is to be used as basis for generating a machine learning (ML) model and (ii) a target variable to be predicted using the ML model; transmit an ML training request for reception by one of the plurality of trainer devices; provide the training data to a particular trainer device executing a particular ML trainer process that is serving the ML training request; receive, from the particular trainer device, the ML model that is generated based on the provided training data and according to the particular ML trainer process; predict the target variable using the ML model; and transmit, to the client device, information indicating the target variable.
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公开(公告)号：US11151325B2
公开(公告)日：2021-10-19
申请号：US16362187
申请日：2019-03-22
Applicant: ServiceNow, Inc.
Inventor： Omer Anil Turkkan , Firat Karakusoglu , Sriram Palapudi
IPC: G06F40/30 , G06F40/284 , G06F40/205
Abstract: Systems and methods are provided to compare a target sample of text to a set of textual records, each textual record including a sample of text and an indication of one or more segments of text within the sample of text. Semantic similarity values between the target sample of text and each of the textual records are determined. Determining a particular semantic similarity value between the target sample of text and a particular textual record of the corpus includes: (i) determining individual semantic similarity values between the target sample of text and each of the segments of text indicated by the particular textual record, and (ii) generating the particular semantic similarity value between the target sample of text and the particular textual record based on the individual semantic similarity values. A textual record is then selected based on the semantic similarities.
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公开(公告)号：US10380504B2
公开(公告)日：2019-08-13
申请号：US15849356
申请日：2017-12-20
Applicant: ServiceNow, Inc.
Inventor： Nikhil Bendre , Fernando Ros , Kannan Govindarajan , Baskar Jayaraman , Aniruddha Thakur , Sriram Palapudi , Firat Karakusoglu
Abstract: A network system may include a plurality of trainer devices and a computing system disposed within a remote network management platform. The computing system may be configured to: receive, from a client device of a managed network, information indicating (i) training data that is to be used as basis for generating a machine learning (ML) model and (ii) a target variable to be predicted using the ML model; transmit an ML training request for reception by one of the plurality of trainer devices; provide the training data to a particular trainer device executing a particular ML trainer process that is serving the ML training request; receive, from the particular trainer device, the ML model that is generated based on the provided training data and according to the particular ML trainer process; predict the target variable using the ML model; and transmit, to the client device, information indicating the target variable.
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公开(公告)号：US20180322415A1
公开(公告)日：2018-11-08
申请号：US15717796
申请日：2017-09-27
Applicant: ServiceNow, Inc.
Inventor： Nikhil Bendre , Fernando Ros , Kannan Govindarajan , Baskar Jayaraman , Aniruddha Thakur , Sriram Palapudi , Firat Karakusoglu
Abstract: A network system may include a plurality of trainer devices and a computing system disposed within a remote network management platform. The computing system may be configured to: receive, from a client device of a managed network, information indicating (i) training data that is to be used as basis for generating a machine learning (ML) model and (ii) a target variable to be predicted using the ML model; transmit an ML training request for reception by one of the plurality of trainer devices; provide the training data to a particular trainer device executing a particular ML trainer process that is serving the ML training request; receive, from the particular trainer device, the ML model that is generated based on the provided training data and according to the particular ML trainer process; predict the target variable using the ML model; and transmit, to the client device, information indicating the target variable.
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