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.

翻译：近年来，在推荐系统研究中，对人类因素的研究引起了广泛关注。用户满意度是保证旅游推荐系统成功的主要因素，因此用户体验在其中起着至关重要的作用。本文设计并实现了一个目的地推荐系统，该系统能根据用户偏好进行即时推荐调整。推荐结果可在世界地图上进行探索，并附带附加信息。该界面解决了推荐系统中常见的可视化挑战，如透明度、可解释性、可控性、可探索性、冷启动问题及上下文感知。我们通过用户研究从用户视角评估了该推荐系统的多个方面。