Es ist eine neuere Version 2025W dieser LV im Curriculum Master's programme Artificial Intelligence 2025W vorhanden.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
M1 - Master's programme 1. year
Computer Science
Markus Schedl
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Computer Science 2022W
Objectives
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.
Subject
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
Criteria for evaluation
written exam
Methods
lectures
Language
English
Study material
slides, scientific papers
Changing subject?
No
Corresponding lecture
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)
