Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach.
Bowen HaoJing ZhangCuiping LiHong ChenHongzhi YinPublished in: ECML/PKDD (4) (2020)
Keyphrases
- online course
- massive open online courses
- online learning
- processing times
- recommender systems
- learning styles
- statistically significant
- job scheduling
- e learning
- distance education
- collaborative filtering
- higher education
- learning analytics
- flowshop
- learning management systems
- learning objects
- computer science
- blended learning
- release dates
- single machine scheduling problem
- computer engineering
- parallel machines
- scheduling problem
- distance learning
- undergraduate and graduate
- preemptive scheduling
- learning algorithm
- identical parallel machines
- batch processing
- setup times
- precedence constraints
- personalized recommendation
- programming course
- m learning
- high school