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

Betreuer: Prof. Dr. Dr. Lars Schmidt-Thieme und Rasoul Karimi