Frappé: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild

This paper describes a real world deployment of a contextaware mobile app recommender system (RS) called Frapp e. Utilizing a hybrid-approach, we conducted a large-scale app market deployment with 1000 Android users combined with a small-scale local user study involving 33 users. The resulting usage logs and subjective feedback enabled us to gather key insights into (1) context-dependent app usage and (2) the perceptions and experiences of end-users while interacting with context-aware mobile app recommendations. While Frapp e performs very well based on usage-centric evaluation metrics insights from the small-scale study reveal some negative user experiences. Our results point to a number of actionable lessons learned specically related to designing, deploying and evaluating mobile context-aware RS in-thewild with real users.