[ 921INSYLUDU21 ] UE (*)Learning from User-generated Data

(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS M1 - Master 1. Jahr Informatik Markus Schedl 1 SSt Johannes Kepler Universität Linz
Quellcurriculum Masterstudium Computer Science 2021S
Ziele (*)This course complements the Learning from User-generated Data VL with a series of practical exercises. Through them participants will learn to systematically approach tasks involving large volumes of user-generated data as well as apply commonly used techniques to real-world datasets. The exercises focus on understanding the rationale behind each approach, along with its strengths and weaknesses.
Lehrinhalte (*)Mining of user behaviour and feedback data (explicit and implicit), recommender systems, strategies for personalisation of content and user interfaces, context-aware search, retrieval, and recommendation. In the series of exercises ranging from writing standalone functions to building experimental setups, participants will use real-world, user-generated data to solve such tasks as data extraction and preparation, data analysis, classification, feature definition, training of various classifiers, recommendation algorithms, and other.
Beurteilungskriterien (*)practical exercises
Lehrmethoden (*)lectures, practical exercises
Abhaltungssprache Englisch
Literatur (*)slides, scientific papers
Lehrinhalte wechselnd? Nein
Äquivalenzen (*)in collaboration with 921INSYLUDV21: VL Learning from User-generated Data (3 ECTS) equivalent to
921INSYLUDK13: KV Learning from User-generated Data (4.5 ECTS)
Teilungsziffer 35
Zuteilungsverfahren Direktzuteilung