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.

Porträt von Sabol
Vedran Sabol
Kontakt Karriere