703334 VU Special Topics 2: Recommender Systems

summer semester 2024 | Last update: 17.04.2024 Place course on memo list
703334
VU Special Topics 2: Recommender Systems
VU 3
5
weekly
annually
English

Graduates of this course have obtained an advances understanding in the field of recommender systems and have acquired the ability to  independently educate themselves in the field.

Foundations of recommender systems; non-personalized recommendations; collaborative filtering; content-based filtering; hybrid recommender systems; matrix factorization; advanced techniques for recommender systems; evaluation of recommender systems

Interactive lecture; practical exercises and projects; discussion of state-of-the-art research papers

written exam and student presentations

  • Practical Recommender Systems; Kim Falk; Manning Publications; 2019.
  • Recommender Systems Handbook; Francesco Ricci, Lior Rokach,  Bracha Shapira; Springer; 3rd edition; 2022.
  • Recommender Systems: The Textbook; Charu C. Aggarwal; Springer; 2016.

 Further resources are available on OLAT and in the lecture slides.

For students of the Master’s Programme Information Systems: positive completion of the courses referred to in § 7 (2.2)

see dates
Group 0
Date Time Location
Thu 2024-03-07
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-03-14
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-03-21
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-04-11
08.30 - 11.00 HS 10 HS 10 Barrier-free
Thu 2024-04-18
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-04-25
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-05-02
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-05-16
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-05-23
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-06-06
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-06-13
08.30 - 11.00 Seminarraum 1 (ICT-Gebäude) Seminarraum 1 (ICT-Gebäude) Barrier-free
Thu 2024-06-20
08.30 - 11.00 HSB 2 HSB 2 Barrier-free
Thu 2024-06-27
08.30 - 11.00 HSB 2 HSB 2 Barrier-free