publication . Article . 2014

Análisis del comportamiento contextual del usuario y su relación con el consumo de aplicaciones móviles

Alejandro Fernández; Luis Antonio Rojas-Potosí; Juan Carlos Corrales; Leandro Krug Wives;
Open Access Spanish
  • Published: 01 Jun 2014
  • Publisher: Universidad de Medellín
Abstract
El mercado de aplicaciones móviles crece aceleradamente, captando la atención sobre el análisis del consumo de las mismas para mejorar su recomendación y la satisfacción del usuario, soportado en la búsqueda de información que permita explicar la ocurrencia de eventos del ciclo de vida de las aplicaciones. En este sentido algunos estudios muestran una fuerte relación entre dichos eventos e información sobre la situación contextual actual del usuario y su registro de consumo de aplicaciones. Sin embargo, dichos trabajos no consideran la relación existente entre el registro de estados de las dimensiones contextuales (denominado como CUBe) y la ocurrencia de evento...
Subjects
free text keywords: Análisis contextual de comportamiento, usuario, aplicaciones móviles, Contextual behavior analysis, user, mobile applications, Technology, T, Engineering (General). Civil engineering (General), TA1-2040, Philosophy, Humanities
Related Organizations
18 references, page 1 of 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.

18 references, page 1 of 2
Abstract
El mercado de aplicaciones móviles crece aceleradamente, captando la atención sobre el análisis del consumo de las mismas para mejorar su recomendación y la satisfacción del usuario, soportado en la búsqueda de información que permita explicar la ocurrencia de eventos del ciclo de vida de las aplicaciones. En este sentido algunos estudios muestran una fuerte relación entre dichos eventos e información sobre la situación contextual actual del usuario y su registro de consumo de aplicaciones. Sin embargo, dichos trabajos no consideran la relación existente entre el registro de estados de las dimensiones contextuales (denominado como CUBe) y la ocurrencia de evento...
Subjects
free text keywords: Análisis contextual de comportamiento, usuario, aplicaciones móviles, Contextual behavior analysis, user, mobile applications, Technology, T, Engineering (General). Civil engineering (General), TA1-2040, Philosophy, Humanities
Related Organizations
18 references, page 1 of 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.

18 references, page 1 of 2
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