MACHINE-LEARNING CREATION OF JOB POSTING CONTENT

    公开(公告)号:US20210150484A1

    公开(公告)日:2021-05-20

    申请号:US16689434

    申请日:2019-11-20

    Applicant: SAP SE

    Abstract: Provided is a system and method for generating job posting content through machine learning. In one example, the method may include storing text content of previous postings, receiving target attributes of a candidate that is a subject of a new posting, identifying, via a machine learning model, a subset of previous postings from among the previous postings which are most closely related to the new posting based on the target attributes of the candidate with respect to content of the previous postings, and detecting text objects from the identified subset of previous postings and outputting a display of the detected text objects.

    Automatic Detection of Semantics
    2.
    发明申请
    Automatic Detection of Semantics 审中-公开
    语义自动检测

    公开(公告)号:US20160378285A1

    公开(公告)日:2016-12-29

    申请号:US14748816

    申请日:2015-06-24

    Applicant: SAP SE

    CPC classification number: G06F16/285 G06F3/0481 G06F16/90328

    Abstract: A system, a method, and a computer program product for automatic detection of semantics are disclosed. A user interface containing a first element and a second element in a plurality of elements is generated. At least one semantic relationship is defined between the first element and the second element. An action on the first element is performed based on an action performed on the second element using the semantic relationship.

    Abstract translation: 公开了一种用于语义自动检测的系统,方法和计算机程序产品。 生成包含多个元素中的第一元素和第二元素的用户界面。 在第一元素和第二元素之间定义至少一个语义关系。 基于使用语义关系对第二元素执行的动作来执行对第一元素的动作。

    METHOD OF PARTIAL VALIDATION OF AN ORGANIZATIONAL STRUCTURE

    公开(公告)号:US20240086810A1

    公开(公告)日:2024-03-14

    申请号:US17944064

    申请日:2022-09-13

    Applicant: SAP SE

    CPC classification number: G06Q10/06316 G06F3/0482 G06Q10/0633

    Abstract: Computer-readable media, methods, and systems are disclosed for performing a method for partial validation of a tree-like hierarchy structure. A method includes selecting a first portion of the hierarchy structure to edit, updating a status associated with the first portion to a draft mode status, modifying the first portion to create an edited first portion, and executing a first validation process on the edited first portion to determine if the edited first portion is consistent with a plurality of rules of the hierarchy structure. If the edited first portion is inconsistent with at least one of the plurality of rules, the method includes displaying an error message and/or a warning message to a user on a user interface. If the edited first portion is consistent with the plurality of rules, the method includes updating a status associated with the edited first portion to an active mode status.

    Machine-learning creation of job posting content

    公开(公告)号:US11551187B2

    公开(公告)日:2023-01-10

    申请号:US16689434

    申请日:2019-11-20

    Applicant: SAP SE

    Abstract: Provided is a system and method for generating job posting content through machine learning. In one example, the method may include storing text content of previous postings, receiving target attributes of a candidate that is a subject of a new posting, identifying, via a machine learning model, a subset of previous postings from among the previous postings which are most closely related to the new posting based on the target attributes of the candidate with respect to content of the previous postings, and detecting text objects from the identified subset of previous postings and outputting a display of the detected text objects.

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