A Social Recommendation Mechanism for Crowdfunding

  • Yung-Ming Li
  • Jyh-Hwa LiouEmail author
  • Yi-Wen Li
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 303)


In recent years, a new kind of fund-raising mode crowdfunding, is gradually arising. Through the rapid spread of the Internet, customers can show their creativity and ideas on the fundraising platform and attract backers to invest extensively in support of the count painting or product development. However, according to fund-raising platform statistics, we found that the success rate of fund-raising plans is less than half. Therefore, the purpose of this study is to propose a backers recommendation mechanism, which integrates information from fundraising and social networking platforms, considering the factors of social relationship, user preferences and background analysis, to help creators improve the success rate of crowdfunding.


Crowdfunding Crowdfunding platforms Social network Social relationship Social recommendation 


  1. 1.
    Entrepreneur. The Basics of Crowdfunding. Entrepreneur (2013)Google Scholar
  2. 2.
    Kickstarter. The year in Kickstarter 2014 in Kickstarter (2014).
  3. 3.
    Zheng, H., Li, D., Wu, J., Xu, Y.: The role of multidimensional social capital in crowdfunding: a comparative study in China and US. Inf. Manag. 51(4), 488–496 (2014)CrossRefGoogle Scholar
  4. 4.
    Mollick, E.: The dynamics of crowdfunding: an exploratory study. J. Bus. Ventur. 29(1), 1–16 (2014)CrossRefGoogle Scholar
  5. 5.
    Chiu, C.M., Liang, T.P., Turban, E.: What can crowdsourcing do for decision support? Decis. Support Syst. 65, 40–49 (2014)CrossRefGoogle Scholar
  6. 6. 2013 The Crowdfunding Industry Report (2013).
  7. 7.
    gofundme. Top 10 Crowdfunding Sites (2014).
  8. 8.
    Kim, J.K., Kim, H.K., Oh, H.Y., Ryu, Y.U.: A group recommendation system for online communities. Int. J. Inf. Manag. 30(3), 212–219 (2010)CrossRefGoogle Scholar
  9. 9.
    Mishra, R., Kumar, P., Bhasker, B.: A web recommendation system considering sequential information. Decis. Support Syst. (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Information ManagementNational Chiao Tung UniversityHsinchuTaiwan R.O.C.
  2. 2.Center for General EducationHsin Sheng College of Medical Care and ManagementTaoyuanTaiwan

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