Web Recommendations are a technique frequently used to improve the navigation and the presentation of data on E-Commerce websites. Many algorithms have been developed in order to automatically generate potentially interesting web recommendations. Each of these algorithms however has its own known drawbacks. In this dissertation we introduce a combined adaptive algorithm, which employs online optimization strategies to overcome these drawbacks. We present a comparative analysis of our approach and several other recommendation approaches using real- world evaluations and show, that our...