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Archived teaching schedules 2017–2018
You are browsing archived teaching schedule. Current teaching schedules can be found here.
TIETS43 Recommender Systems 5 ECTS
Period I Period II Period III Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
Faculty of Natural Sciences

Learning outcomes

After completing the course, the student is expected to:
- know the basic concepts and techniques of recommender systems, including collaborative and content-based filtering techniques, and techniques for computing contextual recommendations, recommendations for groups, packages recommendations and diverse recommendations,
- be able to handle contemporary research issues and problems on recommender systems, and
- solve real-world problems.

Enrolment for University Studies

Enrolment time has expired


Konstantinos Stefanidis, Teacher responsible

Homepage URL


23-Oct-2017 – 15-Dec-2017
Tue 24-Oct-2017 - 12-Dec-2017 weekly at 12-14, Pinni B0016
Thu 26-Oct-2017 - 14-Dec-2017 weekly at 12-14, Pinni B0016
Fri 27-Oct-2017 - 15-Dec-2017 weekly at 10-12, Pinni B0016