Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild
Abstract
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- May 2015
- DOI:
- 10.48550/arXiv.1505.03014
- arXiv:
- arXiv:1505.03014
- Bibcode:
- 2015arXiv150503014B
- Keywords:
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- Computer Science - Information Retrieval;
- H.3.3;
- H.5.2