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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:US20210019146A1
公开(公告)日:2021-01-21
申请号:US16511507
申请日:2019-07-15
Applicant: SAP SE
Inventor: Thirumaleshwar Kunamalla , Krishna Hindhupur Vijay Sudheendra , Panish Ramakrishna , Debashis Banerjee , Hemanth Rajeswari Anantha , Hari Babu Krishnan , Balaji Raghunathan
Abstract: A system includes reception of a definition of a first attribute to associate with a logical object of the first application, reception of a definition of a second attribute to associate with a second logical object of the first application, determination, based on the definition of the first attribute and the definition of the second attribute, that the first attribute and the second attribute are associated with a same semantic, based on the determination, generation of e a first identifier associated with the first attribute and the second attribute and storing the first identifier associated with the first attribute and the second attribute in a first data schema associated with the first application, and storage of the first identifier associated with the first attribute and the second attribute in an analytics schema associated with an analytics application.
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公开(公告)号:US09892275B2
公开(公告)日:2018-02-13
申请号:US15067164
申请日:2016-03-10
Applicant: SAP SE
Inventor: Vipul Gupta , Balaji Raghunathan , Darpan Dinker
CPC classification number: G06F21/6218 , G06F21/10 , G06F21/602 , G06F2221/2107
Abstract: Various embodiments of systems, computer program products, and methods for encrypting data in a multi-tenant cloud environment are described herein. In an aspect, an encryption time frame to encrypt data associated with a user in a multi-tenant cloud environment may be retrieved. Based on the encryption time frame, a list of object types to be encrypted may be identified. A batch encryption period may be determined for encrypting data corresponding to the list of object types. Further, batches are sequentially selected based on the batch encryption period, for a selected batch: one or more data records may be retrieved based on the batch encryption period and the one or more data records may be encrypted in groups based on at least one throttling value.
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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: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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公开(公告)号:US20210056434A1
公开(公告)日:2021-02-25
申请号:US16543948
申请日:2019-08-19
Applicant: SAP SE
Inventor: Balaji Raghunathan
Abstract: Systems and methods are provided for analyzing input data using a first machine learning model corresponding to a root level node of a model tree classifier to generate a level node classification and a confidence score corresponding to the classification, and for each level in the hierarchy of nodes after the root level node in the model tree classifier, determining a next level node of the model tree classifier based on a generated classification output of a previous level node, and analyzing the input data to generate a level node classification output and a level node confidence score corresponding to the classification. The systems and methods further provide for generating a final classification for the input data based on alignment with a previous level node classification output and confidence scores corresponding to each level node classification output.
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公开(公告)号:US11409520B2
公开(公告)日:2022-08-09
申请号:US16511507
申请日:2019-07-15
Applicant: SAP SE
Inventor: Thirumaleshwar Kunamalla , Krishna Hindhupur Vijay Sudheendra , Panish Ramakrishna , Debashis Banerjee , Hemanth Rajeswari Anantha , Hari Babu Krishnan , Balaji Raghunathan
Abstract: A system includes reception of a definition of a first attribute to associate with a logical object of the first application, reception of a definition of a second attribute to associate with a second logical object of the first application, determination, based on the definition of the first attribute and the definition of the second attribute, that the first attribute and the second attribute are associated with a same semantic, based on the determination, generation of e a first identifier associated with the first attribute and the second attribute and storing the first identifier associated with the first attribute and the second attribute in a first data schema associated with the first application, and storage of the first identifier associated with the first attribute and the second attribute in an analytics schema associated with an analytics application.
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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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