Recommender Systems - Table of Contents

• User Adaptive Systems personalises and tailors the vast amount of information into what we need, want and what best fits our current needs.
• The notes will include sections about the General Schema of the User Adaptive systems, user models and different recommender systems.

Table of Contents

1. Introduction
2. General Schema of User Adaptive Systems
3. User models and profiles (representation)
4. User Models and Profiles (building)
5. Example: User engagement modelling
6. Stereotypes (User categories)
7. Recommender systems (Part 1) – Content-based Recommenders
8. Recommender systems (Part 1) – Knowledge-based recommenders
9. Recommender systems (Part 2) – Collaborative filtering
10. Recommender systems (Part 3): Hybrid Recommenders
11. Recommender Systems (Part 4): Evaluation
12. Group recommendations
13. Adaptive content presentation
14. Evaluation of user adaptive systems