Databases and Information Systems
Sie sind hier: Startseite Teaching Lehrangebot Sommersemester 2017 Knowledge Transfer

Knowledge Transfer


  • [March 03, 2017] Website of Seminar initialized.


Seminar Content

Online retailers such as Amazon and eBay often sell millions of products of heterogeneous nature. In social media users have tools to express their affinity to a variety of interests and topics.

Therefore, being able to transfer the knowledge from one specific domain to another while exploiting the multi-domain users' feedback is a feature that recommender systems, advertising, and other filtering tools couldn't do without.

The purpose of this Seminar is to review the state-of-art knowledge transfer techniques while addressing the main questions: what to transfer, when to transfer and how to transfer.


Application Procedure

  • We kindly ask prospective participants to apply via HISinOne for participating in this seminar.
  • Please note that the number of participants is limited to 8.

Administrative Stuff

  • The seminar is organized as a block seminar, consisting of a kick-off event and one presentation session with mandatory participation.
  • Kick-off event: Tue., April 25th, 2017, 16:00 - 18:00 (c.t.). Location: Geb. 51 SR 01-29.

    The aim of the kick-off event is to provide all participants with basic knowledge about Knowledge Transfer within the context of Recommender Systems. The topics as well as goals to be achieved in the written report and presentation will be introduced in this event.

    Kick-off slides

    Please decide on a topic until May 8, 2017, 16:00, and come to our next meeting at May 8, 2017, 16 c.t.

  • Session I: TBD. Location: Geb. 51 SR 01-29.

    Presentation of the participants.

  • Additional information:
    • ECTS: 4 cr. (equivalent to 2 SWS)
    • Language: English/German

Requisites for Passing

  • Participation in the kick-off event and the session is mandatory.
  • Each participant must submit a written report and give a presentation (English or German).
  • Participation in discussions and the quality of questions raised are also part of the final grade assigned.
  • The final grade is composed 50% oral presentation plus participation in discussions and 50% written report.

Topics and References

  • The seminar is based on chapter 27 of the book Recommender Systems Handbook by Francesco Ricci, Lior Rokach and Bracha Shapira (second edition). The book is available in digital format at the University's library.
  • Topics and references will be handed out in the kick-off event.
  • Note that the indicated paper references are only meant as starting point. Students are highly encouraged to search for other suitable references.