[ 921INSYLUDV21 ] VL (*)Learning from User-generated Data
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| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 3 ECTS |
M1 - Master 1. Jahr |
Informatik |
Markus Schedl |
2 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2022W |
| 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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| Präsenzlehrveranstaltung |
| Teilungsziffer |
- |
| Zuteilungsverfahren |
Direktzuteilung |
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