Tracking User Behavior for Content-based Recommendations

Master Thesis

We provide a Recommendation dashboard that includes several interactive visualizations that is connected to the Content-based Recommender System (CB-RS). In this work you will implement an algorithm which tracks and collects users’ interaction with the visualizations and which defines behavioral patterns based on those collections. The patterns will be used to infer users’ next action using CB-RS and in turn to recommend visualizations which address users’ task in the best possible way.

Portrait of Sabol
Vedran Sabol
Back
Contact

Wenn Sie diese Seite nutzen stimmen Sie der Verwendung von Cookies zu mehr Information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close