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Courses in winter term 2012/2013 / Bachelor/Master-Seminar: Business Intelligence: Recommender Systems
Abstract

Active Learning in Recommender Systems

Recommender systems are dynamic adaptive systems for personalization that help users to chose between alternatives and to find items they are interested in by learning their preferences from collective past user behavior.

In this seminar, we study the new-user problem in recommender systems

Instructors: Prof. Dr. Dr. Lars Schmidt-Thieme and Rasoul Karimi

 
Seminar:
Time: Thu 10-12 c.t.
Location: B126, Spl
Begin:
Assignment: IS / BI+KI+ML (MSc)
 
Delivery:
Time:
Location:
 
More:
LSF:LSF
Modul- Handbuch:MHB
Last Seminar: here