JobSense: A data-driven career knowledge exploration framework and system

Today’s job market sees rapid changes due to technology and business model disruptions. To fully tap on one’s potential in career development, one has to acquire job and skill knowledge through working on different jobs. Another approach is to seek consultation with career coaches who are trained to...

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Bibliographic Details
Main Authors: ASHOK, Xavier Jayaraj Siddarth, LIM, Ee-peng, PRASETYO, Philips Kokoh
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/4261
https://ink.library.smu.edu.sg/context/sis_research/article/5264/viewcontent/23._Dec05_2018___JobSense_A_Data_Driven_Career_Knowledge_Exploration_Framework_and_System___Demo__ICDM18_.pdf
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Institution: Singapore Management University
Language: English