| 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.
|
| Subject |
- 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)
|
