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This paper describes a real world deployment of a context-aware mobile app recommender system (RS) called Frappe.
Mosaic displays for multi-way contingency tables
M. Friendly · 1994
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Evaluating collaborative filtering recommender systems
J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl · 2004
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Being accurate is not enough: how accuracy metrics have hurt recommender systems
S. M. McNee, J. Riedl, and J. A. Konstan · 2006
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A hybrid recommender system for context-aware recommendations of mobile applications
W. Woerndl, C. Schueller, and R. Wojtech · 2007
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Collaborative filtering for implicit feedback datasets
Y. Hu, Y. Koren, and C. Volinsky · 2008
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Understanding the intent behind mobile information needs
K. Church and B. Smyth · 2009
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A case study on the effectiveness of recommendations in the mobile internet
D. Jannach and K. Hegelich · 2009
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Contextual patterns in mobile service usage
H. Verkasalo · 2009
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Appaware: which mobile applications are hot?
A. Girardello and F. Michahelles · 2010
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Further into the wild: running worldwide trials of mobile systems
D. McMillan, A. Morrison, O. Brown, M. Hall, and M. Chalmers · 2010
Cited alongside, same era.
Context-aware recommender systems
G. Adomavicius and A. Tuzhilin · 2011
Cited alongside, same era.
Falling asleep with angry birds, facebook and kindle: a large scale study on mobile application usage
M. Böhmer, B. Hecht, J. Schöning, A. Krüger, and G. Bauer · 2011
Cited alongside, same era.
Looking for good recommendations: A comparative evaluation of recommender systems
P. Cremonesi, F. Garzotto, S. Negro, A. Papadopoulos, and R. Turrin · 2011
Cited alongside, same era.
Utilizing implicit feedback and context to recommend mobile applications from first use
C. Davidsson and S. Moritz · 2011
Cited alongside, same era.
My app is an experiment: Experience from user studies in mobile app stores
Context relevance assessment and exploitation in mobile recommender systems
L. Baltrunas, B. Ludwig, S. Peer, and F. Ricci · 2012
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Climbing the app wall: enabling mobile app discovery through context-aware recommendations
A. Karatzoglou, L. Baltrunas, K. Church, and M. Böhmer · 2012
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Explaining the user experience of recommender systems
B. P. Knijnenburg, M. C. Willemsen, Z. Gantner, H. Soncu, and C. Newell · 2012
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Recommender systems: from algorithms to user experience
J. A. Konstan and J. Riedl · 2012
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A hybrid mass participation approach to mobile software trials
A. Morrison, D. McMillan, S. Reeves, S. Sherwood, and M. Chalmers · 2012
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Pareto-efficient hybridization for multi-objective recommender systems
M. T. Ribeiro, A. Lacerda, A. Veloso, and N. Ziviani · 2012
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N. Henze, M. Pielot, B. Poppinga, T. Schinke, and S. Boll · 2011
Cited alongside, same era.
On the evolution of critiquing recommenders
L. McGinty and J. Reilly · 2011
Cited alongside, same era.
A user-centric evaluation framework for recommender systems
P. Pu, L. Chen, and R. Hu · 2011
Cited alongside, same era.
Appjoy: personalized mobile application discovery
B. Yan and G. Chen · 2011
Cited alongside, same era.
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Appfunnel: a framework for usage-centric evaluation of recommender systems that suggest mobile applications
M. Böhmer, L. Ganev, and A. Krüger · 2013
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A study on icon arrangement by smartphone users
M. Böhmer and A. Krüger · 2013
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Upright or sideways?: Analysis of smartphone postures in the wild
A. Sahami Shirazi, N. Henze, T. Dingler, K. Kunze, and A. Schmidt · 2013
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