Análisis del comportamiento contextual del usuario y su relación con el consumo de aplicaciones móviles
- Published: 01 Jun 2014
- Publisher: Universidad de Medellín
- National University of La Plata Argentina
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[1] M. Böhmer, B. Hecht, J. Schöning, A. Krüger and G. Bauer, “Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage,” New York, NY, USA, 2011.
[2] N. Aharony, “Social fMRI : measuring and designing social mechanisms using mobile phones,” Boston, MA, 2012.
[3] W. Pan, N. Aharony and A. Pentland, “Composite Social Network for Predicting Mobile Apps Installation,” CoRR, vol. abs/1106.0359, 2011. [OpenAIRE]
[4] H. Falaki, R. Mahajan, S. Kandula, D. Lymberopoulos, R. Govindan and D. Estrin, “Diversity in smartphone usage,” New York, NY, USA, 2010.
[5] M. Böhmer and L. Ganev, “AppFunnel: A Framework for Usage-centric Evaluation of Recommender Systems that Suggest Mobile Applications,” 2013. [OpenAIRE]
[6] J. Laurila, D. Gatica-Perez, I. Aad, J. Blom, O. Bornet, T. Do, O. Dousse, J. Eberle and M. Miettinen, “The mobile data challenge: Big data for mobile computing research,” 2012.
[7] N. Kiukkonen, J. Blom, O. Dousse, D. Gatica-Perez and J. Laurila, “Towards rich mobile phone datasets: Lausanne data collection campaign,” Berlin, 2010. [OpenAIRE]
[8] A. K. Dey, “Understanding and Using Context,” Personal Ubiquitous Comput., vol. 5, pp. 4-7, January 2001.
[9] G. Adomavicius and A. Tuzhilin, “Context-Aware Recommender Systems,” in Recommender Systems Handbook, F. Ricci, L. Rokach, B. Shapira and P. B. Kantor, Eds., Springer US, 2011, pp. 217-253.
[10] L. Baltrunas, B. Ludwig, S. Peer and F. Ricci, “Context relevance assessment and exploitation in mobile recommender systems,” Personal and Ubiquitous Computing, vol. 16, pp. 507-526, 2012.
[11] K. Huang, C. Zhang, X. Ma and G. Chen, “Predicting mobile application usage using contextual information,” New York, NY, USA, 2012.
[12] M. Böhmer, G. Bauer and A. Krüger, “Exploring the Design Space of Context-aware Recommender Systems that Suggest Mobile Applications,” Barcelona, Spain, 2010.
[13] F. Ricci, L. Rokach and B. Shapira, “Introduction to Recommender Systems Handbook,” in Recommender Systems Handbook, F. Ricci, L. Rokach, B. Shapira and P. B. Kantor, Eds., Springer US, 2011, pp. 1-35.
[14] Q. Xu, J. Erman, A. Gerber, Z. Mao, J. Pang and S. Venkataraman, “Identifying diverse usage behaviors of smartphone apps,” New York, NY, USA, 2011.
[15] T. Yan, D. Chu, D. Ganesan, A. Kansal and J. Liu, “Fast app launching for mobile devices using predictive user context,” New York, NY, USA, 2012.
- 1
- 2
Related research
- National University of La Plata Argentina
- 1
- 2
[1] M. Böhmer, B. Hecht, J. Schöning, A. Krüger and G. Bauer, “Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage,” New York, NY, USA, 2011.
[2] N. Aharony, “Social fMRI : measuring and designing social mechanisms using mobile phones,” Boston, MA, 2012.
[3] W. Pan, N. Aharony and A. Pentland, “Composite Social Network for Predicting Mobile Apps Installation,” CoRR, vol. abs/1106.0359, 2011. [OpenAIRE]
[4] H. Falaki, R. Mahajan, S. Kandula, D. Lymberopoulos, R. Govindan and D. Estrin, “Diversity in smartphone usage,” New York, NY, USA, 2010.
[5] M. Böhmer and L. Ganev, “AppFunnel: A Framework for Usage-centric Evaluation of Recommender Systems that Suggest Mobile Applications,” 2013. [OpenAIRE]
[6] J. Laurila, D. Gatica-Perez, I. Aad, J. Blom, O. Bornet, T. Do, O. Dousse, J. Eberle and M. Miettinen, “The mobile data challenge: Big data for mobile computing research,” 2012.
[7] N. Kiukkonen, J. Blom, O. Dousse, D. Gatica-Perez and J. Laurila, “Towards rich mobile phone datasets: Lausanne data collection campaign,” Berlin, 2010. [OpenAIRE]
[8] A. K. Dey, “Understanding and Using Context,” Personal Ubiquitous Comput., vol. 5, pp. 4-7, January 2001.
[9] G. Adomavicius and A. Tuzhilin, “Context-Aware Recommender Systems,” in Recommender Systems Handbook, F. Ricci, L. Rokach, B. Shapira and P. B. Kantor, Eds., Springer US, 2011, pp. 217-253.
[10] L. Baltrunas, B. Ludwig, S. Peer and F. Ricci, “Context relevance assessment and exploitation in mobile recommender systems,” Personal and Ubiquitous Computing, vol. 16, pp. 507-526, 2012.
[11] K. Huang, C. Zhang, X. Ma and G. Chen, “Predicting mobile application usage using contextual information,” New York, NY, USA, 2012.
[12] M. Böhmer, G. Bauer and A. Krüger, “Exploring the Design Space of Context-aware Recommender Systems that Suggest Mobile Applications,” Barcelona, Spain, 2010.
[13] F. Ricci, L. Rokach and B. Shapira, “Introduction to Recommender Systems Handbook,” in Recommender Systems Handbook, F. Ricci, L. Rokach, B. Shapira and P. B. Kantor, Eds., Springer US, 2011, pp. 1-35.
[14] Q. Xu, J. Erman, A. Gerber, Z. Mao, J. Pang and S. Venkataraman, “Identifying diverse usage behaviors of smartphone apps,” New York, NY, USA, 2011.
[15] T. Yan, D. Chu, D. Ganesan, A. Kansal and J. Liu, “Fast app launching for mobile devices using predictive user context,” New York, NY, USA, 2012.
- 1
- 2
Related research
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