  This paper describes a real world deployment of a context-aware mobile app
recommender system (RS) called Frappe. 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 Frappe 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 specifically related to
designing, deploying and evaluating mobile context-aware RS in-the-wild with
real users.

Information Retrieval