TD3: Recommender Systems
Tutorialists: Dietmar Jannach and Gerhard Friedrich
Sunday, August 4th, afternoon
Recommender systems make informed propositions of items to users based on the items’ relevance and the specific situational context of the user, building for instance on research in personalization, machine learning and knowledge‐based reasoning. The tutorial will offer an introduction to the various strategies and methods for building recommender systems and will discuss the different known approaches and how the effectiveness of such systems can be determined.