Intervention recommendation for disability employment service /
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(Published version)
Date
2022
Authors
Tran, Ha
Editors
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Type:
thesis
Citation
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Abstract
An emerging problem in Disability Employment Service is to recommend the skill (also called factor) that people with disability should improve (also called intervene) to increase their employment success the most. This requires estimating the causal effect of possible factors on the outcome to determine the most effective intervention. Current recommendation methods cannot adequately solve this problem as they rely upon associations learned from data to recommend relevant items. In this thesis, we develop four causal methods for generating personalised intervention recommendations. Each method addresses a different type of intervention and data. The case studies of Australians with disability show that our methods can help people with disability increase their employment success. Additional experiments with public datasets also show the strengths of our methods in other applications.
School/Discipline
University of South Australia. UniSA STEM
UniSA STEM
UniSA STEM
Dissertation Note
Thesis (PhD(Computer and Information Science))--University of South Australia, 2022.
Provenance
Copyright 2022 Ha Tran
Description
1 ethesis (xvi, 228 pages) :
colour illustrations and charts
Includes bibliographical references (pages 197-228)
colour illustrations and charts
Includes bibliographical references (pages 197-228)
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506 0#$fstar $2Unrestricted online access