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1.发明申请公开(公告)号：US20220261766A1
公开(公告)日：2022-08-18
申请号：US17729939
申请日：2022-04-26
发明人： David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
IPC分类号： G06Q10/10 , G06F7/02 , G06F40/30 , G06F40/205
摘要： A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.
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2.发明授权公开(公告)号：US11410130B2
公开(公告)日：2022-08-09
申请号：US15854837
申请日：2017-12-27
发明人： David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
IPC分类号： G06Q10/10 , G06F7/02 , G06F40/30 , G06F40/205
摘要： A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.
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3.发明申请公开(公告)号：US20190197482A1
公开(公告)日：2019-06-27
申请号：US15854837
申请日：2017-12-27
发明人： David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
CPC分类号： G06Q10/1053 , G06F7/026 , G06F17/2705 , G06F17/2785
摘要： A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.
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