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| Detailed information |
| Original study plan |
Master's programme Computer Science 2021S |
| 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
|
| Methods |
lectures
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| 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)
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