194.035 Recommender Systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019S, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

The students will:

  1. familiarize themselves with the concepts of Recommender Systems,
  2. understand the challenges involved,
  3. be able to “recommend” appropriate techniques when faced with a recommendation task, and
  4. acquire hands-on experience implementing existing methods and evaluating them over real datasets. 

Subject of course

  • Introduction
  • Content-based Recommendations
  • Collaborative Filtering
  • Model-based CF -- Matrix Factorization
  • Evaluation Methods
  • Special Topics (Group Recommenders, Social Recommenders, e-Tourism domain)

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue10:00 - 12:0005.03.2019 - 25.06.2019FAV Hörsaal 1 - INF VU 194.035
Mon13:00 - 15:0017.06.2019FAV Hörsaal 2 Exam
Mon13:00 - 15:0017.06.2019FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Exam
Mon13:00 - 15:0017.06.2019FAV Hörsaal 1 - INF Exam
Recommender Systems - Single appointments
DayDateTimeLocationDescription
Tue05.03.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue12.03.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue19.03.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue26.03.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue02.04.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue09.04.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue30.04.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue07.05.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue14.05.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue21.05.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue28.05.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue04.06.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Mon17.06.201913:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Exam
Mon17.06.201913:00 - 15:00FAV Hörsaal 2 Exam
Mon17.06.201913:00 - 15:00FAV Hörsaal 1 - INF Exam
Tue18.06.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035
Tue25.06.201910:00 - 12:00FAV Hörsaal 1 - INF VU 194.035

Course registration

Begin End Deregistration end
14.02.2019 09:00 31.03.2019 23:59 31.03.2019 23:59

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science
066 926 Business Informatics

Literature

No lecture notes are available.

Language

English