Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild
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Abstract (arXiv)
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.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 May 2015.
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Citing papers per year: 2021: 3; 2022: 5; 2023: 3; 2024: 1; 2025: 1; 2026: 1.
14 papers.
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- 2021ARM-Net: Adaptive Relation Modeling Network for Structured Datacited by 24
- 2021Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistantscited by 11
- 2022Boosting Factorization Machines via Saliency-Guided Mixupcited by 3
- 2022On the Generalizability and Predictability of Recommender Systemscited by 3
- 2022Information-Gathering in Latent Banditscited by 2
- 2023Exploiting Field Dependencies for Learning on Categorical Datacited by 2
- 2022The Long Tail of Context: Does it Exist and Matter?cited by 1
- 2021Multilinear Dirichlet Processescited by 0
- 2022RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Predictioncited by 0
- 2023Context-aware explainable recommendations over knowledge graphscited by 0
- 2023Context-aware feature attribution through argumentationcited by 0
- 2024When factorization meets argumentation: towards argumentative explanationscited by 0
- 2026Towards Effective Orchestration of AI x DB Workloads4 Mar 2026
- 2025Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios5 Mar 2025
- 2024When factorization meets argumentation: towards argumentative explanations13 May 2024
- 2023Context-aware feature attribution through argumentation24 Oct 2023
- 2023Context-aware explainable recommendations over knowledge graphs24 Oct 2023
- 2023Exploiting Field Dependencies for Learning on Categorical Data18 Jul 2023
- 2022RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction28 Oct 2022
- 2022The Long Tail of Context: Does it Exist and Matter?3 Oct 2022
- 2022Information-Gathering in Latent Bandits8 Jul 2022
- 2022On the Generalizability and Predictability of Recommender Systems23 Jun 2022
- 2022Boosting Factorization Machines via Saliency-Guided Mixup17 Jun 2022
- 2021ARM-Net: Adaptive Relation Modeling Network for Structured Data5 Jul 2021
2 more
- 2021ARM-Net: Adaptive Relation Modeling Network for Structured Datacited by 24
- 2021Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistantscited by 11
- 2022Boosting Factorization Machines via Saliency-Guided Mixupcited by 3
- 2022On the Generalizability and Predictability of Recommender Systemscited by 3
- 2022Information-Gathering in Latent Banditscited by 2
- 2023Exploiting Field Dependencies for Learning on Categorical Datacited by 2
- 2022The Long Tail of Context: Does it Exist and Matter?cited by 1
- 2021Multilinear Dirichlet Processescited by 0
- 2022RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Predictioncited by 0
- 2023Context-aware explainable recommendations over knowledge graphscited by 0
- 2023Context-aware feature attribution through argumentationcited by 0
- 2024When factorization meets argumentation: towards argumentative explanationscited by 0
12 most cited of 14 All 14 (JSON)
- 2026Towards Effective Orchestration of AI x DB Workloads4 Mar 2026
- 2025Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios5 Mar 2025
- 2024When factorization meets argumentation: towards argumentative explanations13 May 2024
- 2023Context-aware feature attribution through argumentation24 Oct 2023
- 2023Context-aware explainable recommendations over knowledge graphs24 Oct 2023
- 2023Exploiting Field Dependencies for Learning on Categorical Data18 Jul 2023
- 2022RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction28 Oct 2022
- 2022The Long Tail of Context: Does it Exist and Matter?3 Oct 2022
- 2022Information-Gathering in Latent Bandits8 Jul 2022
- 2022On the Generalizability and Predictability of Recommender Systems23 Jun 2022
- 2022Boosting Factorization Machines via Saliency-Guided Mixup17 Jun 2022
- 2021ARM-Net: Adaptive Relation Modeling Network for Structured Data5 Jul 2021
12 newest of 14 All 14 (JSON)