  Studying human factors has gained a lot of interest in recommender systems
research recently. User experience plays a vital role in tourism recommender
systems since user satisfaction is the main factor that guarantees the success
of such recommender systems. In this work, we have designed and implemented a
destination recommender system in which the recommendations adapt instantly
based on the user preferences. The recommendations can be explored on a world
map with additional information. This interface addresses common visualization
challenges in recommender systems, such as transparency, justification,
controllability, explorability, the cold-start problem, and context awareness.
We have conducted a user study to evaluate different aspects of this
recommender system from the users' perspective.
