Inhalt
[ 921INSYLUDU21 ] UE (*)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 |
| 1,5 ECTS |
M1 - Master 1. Jahr |
Informatik |
Markus Schedl |
1 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| 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.
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| 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.
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| Beurteilungskriterien |
(*)practical exercises
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| Lehrmethoden |
(*)lectures, practical exercises
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)slides, scientific papers
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| 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)
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| Präsenzlehrveranstaltung |
| Teilungsziffer |
35 |
| Zuteilungsverfahren |
Direktzuteilung |
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