[ 921INSYLUDV21 ] VL Learning from User-generated Data

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Computer Science Markus Schedl 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2022W
Objectives In this course, students will acquire the basic knowledge required for analyzing and leveraging user-generated data (such as microblogs or ratings), with a particular focus on their use in recommender systems.
  • Sources of user-generated data
  • mining and analysis of content from web and social media
  • mining of user behaviour and feedback (explicit and implicit)
  • recommender systems
  • personalisation
  • content-based filtering
  • collaborative filtering
  • context-awareness
  • hybridization
  • bias and fairness
Criteria for evaluation written exam
Methods lectures
Language English
Study material slides, scientific papers
Changing subject? No
Corresponding lecture in collaboration with 921INSYLUDU21: UE Learning from User-generated Data (1.5 ECTS) equivalent to
921INSYLUDK13: KV Learning from User-generated Data (4.5 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment