- 专利标题: CREATING AND USING TRIPLET REPRESENTATIONS TO ASSESS SIMILARITY BETWEEN JOB DESCRIPTION DOCUMENTS
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申请号: US15854837申请日: 2017-12-27
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公开(公告)号: US20190197482A1公开(公告)日: 2019-06-27
- 发明人: David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
- 申请人: International Business Machines Corporation
- 主分类号: G06Q10/10
- IPC分类号: G06Q10/10 ; G06F7/02 ; G06F17/27
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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