Modeling and Evaluation of the Incentive Scheme in “E-photo”

  • Shijie Ni
  • Zhuorui Yong
  • Ruipeng Gao
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 747)


“E-photo” is to solve the inconvenient problem when users want some photos. It is a self-service model with the help of internet crowdsourcing. Users download “E-photo” and register as “E-photo” members, then they can get the task and earn the corresponding reward as incentives. The pricing task is the core problem in “E-photo”. If the pricing is not reasonable, some tasks will not be cared, thus involving the failure of commodity inspection. In this paper, we fuse the logistic regression model and cohesive hierarchical model, and propose a better pricing method for “E-photo”.


  1. 1.
    Harmon, R., Raffo, D., Faulk, S.: Incorporating price sensitivity measurement into the software engineering process, National Science Foudation grant EEC-9905789Google Scholar
  2. 2.
    Tsunoda, M., Monden, A., Matsumoto, K., Ohiwa, S., Oshino, T.: Analysis of Attributes Relating to Custom Software Price. IEEE (2012)Google Scholar
  3. 3.
    Kamdar, A., Orsoni, A.: Development of Value-Based Pricing Model for Software Services. IEEE (2009)Google Scholar
  4. 4.
    Sibson, R.: ‘A Service’ in Creative Pricing (Elizabeth Marting, ed.), pp. 147–52. American Marketing Association, New York (1968). Cited in [5]Google Scholar
  5. 5.
    Gabor, A.: Pricing Principles and Practices. Cambridge University Press, New York (1985)Google Scholar
  6. 6.
    Wang, B.: Mathematical Modeling Concise Tutorial. Tsinghua University Press, Beijing (2012)Google Scholar
  7. 7.
    Giordano, F.R., Fox, W.P., Horton, S.B., Weir, M.D.: A First Course in Mathematical Modeling. Machinery Industry Press, China (2009)Google Scholar
  8. 8.
    Wang, B., Li, G., Li, X.: Matlab and Mathematics Experiment. China Railway Press, Beijing (2014)Google Scholar
  9. 9.
    Gao, R., Zhao, M., Ye, T., Ye, F., Luo, G., Wang, Y., Bian, K., Wang, T., Li, X.: Multi-story indoor floor plan reconstruction via mobile crowdsensing. IEEE Trans. Mob. Comput. 15(6), 1427–1442 (2016)CrossRefGoogle Scholar
  10. 10.
    Gao, R., Tian, Y., Ye, F., Luo, G., Bian, K., Wang, Y., Wang, T., Li, X.: Sextant: towards ubiquitous indoor localization service by photo-taking of the environment. IEEE Trans. Mob. Comput. 15(2), 460–474 (2016)CrossRefGoogle Scholar
  11. 11.
    Gao, R., Zhao, M., Ye, T., Ye, F., Wang, Y., Luo, G.: Smartphone-based real time vehicle tracking in indoor parking structures. IEEE Trans. Mob. Comput. 16(7), 2023–2036 (2017)CrossRefGoogle Scholar
  12. 12.
    Gao, R., Zhou, B., Ye, F., Wang, Y.: Knitter: fast, resilient single-user indoor floor plan construction. In: Proceedings of IEEE INFOCOM (2017)Google Scholar
  13. 13.
    Gao, R., Zhao, M., Ye, T., Ye, F., Wang, Y., Bian, K., Wang, T., Li, X.: Jigsaw: indoor floor plan reconstruction via mobile crowdsensing. In Proceedings of ACM MobiCom (2014)Google Scholar
  14. 14.
    Zhou, B., Elbadry, M., Gao, R., Ye, F.: BatMapper: acoustic sensing based indoor floor plan construction using smartphones. In: Proceedings of ACM MobiSys (2017)Google Scholar
  15. 15.
    Zhou, B., Elbadry, M., Gao, R., Ye, F.: BatTracker: high precision infrastructure-free mobile device tracking in indoor environments. In: Proceedings of ACM SenSys (2017)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Software EngineeringBeijing Jiaotong UniversityBeijingChina

Personalised recommendations