This lecture series at the Leibniz University Hannover provides the foundations for user modeling and personalization. We discuss basic methods for user observation, the most common types of user models and a wide range of personalization techniques. Building upon this, we will specifically look at state-of-the-art content-based and collaborative recommendation techniques. Specific attention will also be given to evaluation techniques and relevant theories from the field of human-computer interaction.
Since 2011, I offer this lecture - and the corresponding exam - during the Summer Semester. Interested students can find details on the current or upcoming lecture series on StudIP - Leibniz Universität Hannover.
Lecture Slides (PDF)
Last update: Summer Semester 2016
2. User Modeling – Introduction
4. User Modeling Frameworks and Interoperability
5. Web Personalization and Web Usage Mining
7. Content-Based and Hybrid Recommender Systems
8. Evaluation of Adaptive Systems
9. User Evaluation of Adaptive Systems
10. Information Foraging and Web Navigation
