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Smart Custom Package Decision for Mobile Internet Services

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Smart Computing and Communication (SmartCom 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11910))

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Abstract

With the rapid development of the mobile Internet services, the existing package decision of telecom operators has become the bottleneck of the mobile Internet services due to the high price. Mobile Internet application companies have begun cooperating with telecom operators to promote free-flow packages. Based on the users’ online data provided by the telecom operator, we propose a smart custom packet decision scheme based on user behavior analysis. A two-side market model is proposed to formulate the package decision. Experimental results show that our scheme is with good efficiency of profit and social welfare.

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References

  1. Gai, K., Qiu, M., Hui, Z., Tao, L., Zong, Z.: Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. J. Netw. Comput. Appl. 59(C), 46–54 (2016)

    Article  Google Scholar 

  2. Gai, K., Qiu, M., Hui, Z.: Energy-aware task assignment for mobile cyber-enabled applications in heterogeneous cloud computing. J. Parallel Distrib. Comput. 111, S0743731517302319 (2017)

    Google Scholar 

  3. Gai, K., Xu, K., Lu, Z., Qiu, M., Zhu, L.: Fusion of cognitive wireless networks and edge computing. IEEE Wirel. Commun. 26(3), 69–75 (2019)

    Article  Google Scholar 

  4. Holden, R.J., Kulanthaivel, A., Purkayastha, S., Goggins, K., Kripalani, S.: Know thy eHealth user: development of biopsychosocial personas from a study of older adults with heart failure. Int. J. Med. Inform. 108, 158–167 (2017)

    Article  Google Scholar 

  5. Kumar, H., Lee, S., Kim, H.G.: Exploiting social bookmarking services to build clustered user interest profile for personalized search. Inf. Sci. (Ny) 281, 399–417 (2014)

    Article  Google Scholar 

  6. Chikhaoui, B., Wang, S., Xiong, T., Pigot, H.: Pattern-based causal relationships discovery from event sequences for modeling behavioral user profile in ubiquitous environments. Inf. Sci. An Int. J. 285(C), 204–222 (2014)

    Google Scholar 

  7. LeRouge, C., Ma, J., Sneha, S., Tolle, K.: User profiles and personas in the design and development of consumer health technologies. Int. J. Med. Inform. 82(11), E251–E268 (2013)

    Article  Google Scholar 

  8. Rossi, R., Gastaldi, M., Orsini, F.: How to drive passenger airport experience: a decision support system based on user profile. IET Intell. Transp. Syst. 12(4), 301–308 (2018)

    Article  Google Scholar 

  9. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Assoc. Inf. Sci. Technol. 41(6), 391–407 (2010)

    Google Scholar 

  10. Kawazu, H., Toriumi, F., Takano, M., Wada, K., Fukuda, I.: Analytical method of web user behavior using Hidden Markov Model. In: IEEE International Conference on Big Data (2017)

    Google Scholar 

  11. Park, J., Lee, D.S., González, M.C.: The eigenmode analysis of human motion. J. Stat. Mech: Theory Exp. 2010(11), P11021 (2016)

    Article  Google Scholar 

  12. Armstrong, M.: Competition in two-sided markets. RAND J. Econ. 37(3), 668–691 (2006)

    Article  Google Scholar 

  13. Armstrong, M., Wright, J.: Two-sided markets, competitive bottlenecks and exclusive contracts. Econ. Theory 32(2), 353–380 (2007)

    Article  MathSciNet  Google Scholar 

  14. Rochet, J., Tirole, J.: Two-sided markets: a progress report. RAND J. Econ. 37(3), 645–667 (2006)

    Article  Google Scholar 

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China under Grant 11571383, the Natural Science Foundation of Hubei Province of China under Grant 2017CFB302, the Science and Technology Program of Guangzhou, China under Grant 201804020053, and Shanghai Special Fund Project for Artificial Intelligence Innovation and Development under Grant 2018-RGZN-01013.

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Correspondence to Hao Jiang or Yuanyuan Zeng .

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Yang, Z., Zheng, C., Jiang, H., Zeng, Y., Hu, Z., Du, W. (2019). Smart Custom Package Decision for Mobile Internet Services. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2019. Lecture Notes in Computer Science(), vol 11910. Springer, Cham. https://doi.org/10.1007/978-3-030-34139-8_16

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  • DOI: https://doi.org/10.1007/978-3-030-34139-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34138-1

  • Online ISBN: 978-3-030-34139-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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