Invention Grant
- Patent Title: Creating and using triplet representations to assess similarity between job description documents
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Application No.: US15854837Application Date: 2017-12-27
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Publication No.: US11410130B2Publication Date: 2022-08-09
- Inventor: David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Shackelford, Bowen, McKinley & Norton, LLP
- Agent Robert A. Voigt, Jr.
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06F7/02 ; G06F40/30 ; G06F40/205

Abstract:
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.
Public/Granted literature
- US20190197482A1 CREATING AND USING TRIPLET REPRESENTATIONS TO ASSESS SIMILARITY BETWEEN JOB DESCRIPTION DOCUMENTS Public/Granted day:2019-06-27
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