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| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2021S |
| Ziele |
(*)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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| Lehrinhalte |
(*)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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| Beurteilungskriterien |
(*)written exam
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| Lehrmethoden |
(*)lectures
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)slides, scientific papers
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| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
(*)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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