Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Ying SunFuzhen ZhuangHengshu ZhuQing HeHui XiongPublished in: WWW (2021)
Keyphrases
- cost effective
- reinforcement learning
- low cost
- reinforcement learning algorithms
- cost effectiveness
- function approximation
- processing times
- recommender systems
- collaborative filtering
- state space
- multi agent
- learning algorithm
- job skills
- user preferences
- recommendation systems
- optimal control
- batch processing
- model free
- behavioural cloning
- markov decision processes
- classification rules
- job search
- dynamic programming
- long term
- learning process
- mobile robot
- single machine scheduling problem
- job satisfaction
- skills needed
- information technology