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INIS
recommendations
66%
risks
52%
metrics
33%
friction
33%
design
31%
accuracy
27%
legislation
25%
graphs
25%
vacancies
25%
transparency
22%
randomness
22%
accounting
16%
algorithms
16%
weight
16%
public opinion
16%
balances
16%
datasets
16%
urban areas
16%
data
16%
neural networks
16%
speed
11%
decision making
11%
information retrieval
11%
legislature
11%
tools
11%
evaluation
11%
efficiency
11%
guidelines
8%
proposals
8%
levels
8%
Keyphrases
Job Recommender Systems
66%
Recruiters
36%
Multi-stakeholder
33%
Stakeholder Requirements
33%
Job Recommendation
33%
Recommendation Explanation
33%
Friction
33%
High Risk
27%
Job Seekers
19%
Recommender Systems
18%
Design Study
16%
Interview Guide
16%
Personalization
16%
YouTube
16%
Conspiracy
16%
Textual Explanations
16%
Personalization Algorithms
16%
Risk Domain
16%
Occupational Knowledge
16%
Stakeholder Benefits
11%
Persuasive Tool
11%
Decision-making Speed
11%
Making Decisions
11%
Perceived Transparency
11%
Model Explanation
11%
Information Retrieval
11%
Decision Basis
11%
Mixed Design
11%
Perceived Usefulness
11%
Legislature
11%
Computer Science
Recommender Systems
100%
Stakeholder Requirement
33%
Interview Guide
16%
Explainable Artificial Intelligence
16%
Treatment Strategy
16%
Participatory Design
16%
Artificial Intelligence
12%
Decision-Making
11%
Information Retrieval
11%
Stakeholder Group
11%
Think Aloud Protocol
11%
Semistructured Interview
8%
Hiring Manager
8%
Involved Stakeholder
5%
Graph Neural Network
5%
