After successful completion of the course, students are able to analyze current research trends in Recommender Systems and Generative AI. They can evaluate methodologies, engage in informed discussions, and articulate key insights from seminar sessions. 

This seminar, organized by the Christian Doppler Lab for Recommender Systems (CDL-RecSys) at TU Wien, delves into advanced topics in Recommender Systems and Generative AI. The course provides a platform for exploring the latest research advancements, methodologies, and challenges in these dynamic fields.

The course utilizes presentations and discussions to facilitate learning and knowledge exchange among participants. Each session features presentations on selected topics followed by interactive discussions. This setup allows students to explore the subject matter more deeply and interact with their peers and experts.

Students are expected to select a specific topic, prepare a presentation, and deliver it during the seminar. Furthermore, they are required to write a seminar paper reflecting their understanding and insights gained from the topic. Active participation in discussions and providing constructive feedback to peers will also be considered in evaluating students' engagement and learning outcomes.