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.
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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
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Criteria for evaluation |
written exam
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Methods |
lectures
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Language |
English |
Study material |
slides, scientific papers
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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)
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