(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
3 ECTS
M1 - Master 1. Jahr
Informatik
Markus Schedl
2 SSt
Johannes Kepler Universität Linz
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.
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
Beurteilungskriterien
(*)written exam
Lehrmethoden
(*)lectures
Abhaltungssprache
Englisch
Literatur
(*)slides, scientific papers
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)
