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公开(公告)号：US11720601B2
公开(公告)日：2023-08-08
申请号：US16920189
申请日：2020-07-02
Applicant: SAP SE
Inventor： Mengyuan Tao , Vishal Narender Punjabi , David Herman
CPC classification number: G06F16/285 , G06N20/00
Abstract: Systems and methods are provided for accessing master data comprising a plurality of representative data records, where each representative data record represents a cluster of similar data records, and each similar data record has a confidence score indicating a confidence level that the similar data record corresponds to the cluster, and comparing a new data record to each representative data record of the plurality of representative data records using a machine learning model to generate a distance score. The systems and methods further provide for analyzing the cluster of similar data records corresponding to each representative data record in a selected set of representative data records to generate candidate values for the requested data field of the new data record, and generating a candidate score for each of the candidate values using the distance score and the confidence score to use in providing a recommended candidate value.
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公开(公告)号：US12086162B2
公开(公告)日：2024-09-10
申请号：US15705171
申请日：2017-09-14
Applicant: SAP SE
Inventor： David Herman , Mert Karakilic , Padmini Ranganathan
IPC: G06F16/28 , G06Q10/06 , G06Q10/0635
CPC classification number: G06F16/285 , G06F16/288 , G06Q10/0635
Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. In response to receiving a request from a client device for an overall score for an entity, the program retrieves a first set of data associated with the entity and a second set of data associated with the entity. The program further uses a first computational model to generate a first score based on the first set of the data. The program also uses a second computational model to generate a second score based on the second set of data. The program further determines the overall score for the entity based on the first score and the second score.
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公开(公告)号：US10977429B2
公开(公告)日：2021-04-13
申请号：US15907237
申请日：2018-02-27
Applicant: SAP SE
Inventor： Debashis Banerjee , Prasanna Kumar Govindappa , David Herman , Krishna Hindhupur Vijay Sudheendra , Shruthi Jinadatta , Anilkumar Tambali , Pravinth Ganesan , Amit Saxena , Gaurav Rathi , Balaji Raghunathan , Hari Babu Krishnan
IPC: G06F17/00 , G06F40/166 , G06N3/02 , G06N20/00
Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.
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Patent Agency Ranking
公开(公告)号：US20210200936A1
公开(公告)日：2021-07-01
申请号：US17200665
申请日：2021-03-12
Applicant: SAP SE
Inventor： Debashis Banerjee , Prasanna Kumar Govindappa , David Herman , Krishna Hindhupur Vijay Sudheendra , Shruthi Jinadatta , Anilkumar Tambali , Pravinth Ganesan , Amit Saxena , Gaurav Rathi , Balaji Raghunathan , Hari Babu Krishnan
IPC: G06F40/166 , G06N3/02 , G06N20/00
Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.
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公开(公告)号：US20190266231A1
公开(公告)日：2019-08-29
申请号：US15907237
申请日：2018-02-27
Applicant: SAP SE
Inventor： Debashis Banerjee , Prasanna Kumar Govindappa , David Herman , Krishna Hindhupur Vijay Sudheendra , Shruthi Jinadatta , Anilkumar Tambali , Pravinth Ganesan , Amit Saxena , Gaurav Rathi , Balaji Raghunathan , Hari Babu Krishnan
Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.
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公开(公告)号：US20240394279A1
公开(公告)日：2024-11-28
申请号：US18790909
申请日：2024-07-31
Applicant: SAP SE
Inventor： David Herman , Mert Karakilic , Padmini Ranganathan
IPC: G06F16/28 , G06Q10/0635
Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. In response to receiving a request from a client device for an overall score for an entity, the program retrieves a first set of data associated with the entity and a second set of data associated with the entity. The program further uses a first computational model to generate a first score based on the first set of the data. The program also uses a second computational model to generate a second score based on the second set of data. The program further determines the overall score for the entity based on the first score and the second score.
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公开(公告)号：US11321518B2
公开(公告)日：2022-05-03
申请号：US17200665
申请日：2021-03-12
Applicant: SAP SE
Inventor： Debashis Banerjee , Prasanna Kumar Govindappa , David Herman , Krishna Hindhupur Vijay Sudheendra , Shruthi Jinadatta , Anilkumar Tambali , Pravinth Ganesan , Amit Saxena , Gaurav Rathi , Balaji Raghunathan , Hari Babu Krishnan
IPC: G06F17/00 , G06F40/166 , G06Q10/10 , G06N3/02 , G06N20/00
Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.
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公开(公告)号：US20220004567A1
公开(公告)日：2022-01-06
申请号：US16920189
申请日：2020-07-02
Applicant: SAP SE
Inventor： Mengyuan Tao , Vishal Narender Punjabi , David Herman
Abstract: Systems and methods are provided for accessing master data comprising a plurality of representative data records, where each representative data record represents a cluster of similar data records, and each similar data record has a confidence score indicating a confidence level that the similar data record corresponds to the cluster, and comparing a new data record to each representative data record of the plurality of representative data records using a machine learning model to generate a distance score. The systems and methods further provide for analyzing the cluster of similar data records corresponding to each representative data record in a selected set of representative data records to generate candidate values for the requested data field of the new data record, and generating a candidate score for each of the candidate values using the distance score and the confidence score to use in providing a recommended candidate value.
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