Crowdfunding support tools: predicting success & failure

作者: Michael D. Greenberg , Bryan Pardo , Karthic Hariharan , Elizabeth Gerber

DOI: 10.1145/2468356.2468682

关键词:

摘要: Creative individuals increasingly rely on online crowdfunding platforms to crowdsource funding for new ventures. For novice project creators, however, there are few resources turn assistance in the planning of projects. We building a tool creators get feedback their designs. One component this is comparison existing As such, we have applied variety machine learning classifiers learn concept successful at time launch. Currently our classifier can predict with roughly 68% accuracy, whether will be or not. The classification results eventually power prediction segment proposed tool. Future work involves turning algorithms into human-readable content and integrating

参考文章(9)
Robert E. Schapire, A brief introduction to boosting international joint conference on artificial intelligence. ,vol. 2, pp. 1401- 1406 ,(1999)
John Zimmerman, Jodi Forlizzi, Shelley Evenson, Research through design as a method for interaction design research in HCI human factors in computing systems. pp. 493- 502 ,(2007) , 10.1145/1240624.1240704
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten, The WEKA data mining software ACM SIGKDD Explorations Newsletter. ,vol. 11, pp. 10- 18 ,(2009) , 10.1145/1656274.1656278
Edward Loper, Steven Bird, NLTK Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics -. pp. 69- 72 ,(2002) , 10.3115/1118108.1118117
Chih-Chung Chang, Chih-Jen Lin, LIBSVM ACM Transactions on Intelligent Systems and Technology. ,vol. 2, pp. 1- 27 ,(2011) , 10.1145/1961189.1961199
안태경, Social Science Research Network 월간KIEP 세계경제. ,vol. 8, pp. 0- 1 ,(2005)
Julie Hui, Mike Greenberg, Elizabeth Gerber, Easy Money? The Demands of Crowdfunding Work ,(2012)
Marianna Obrist, Sue Ann Seah, Sriram Subramanian, Talking about tactile experiences human factors in computing systems. pp. 1659- 1668 ,(2013) , 10.1145/2470654.2466220
David J. Hand, Classifier Technology and the Illusion of Progress Statistical Science. ,vol. 21, pp. 1- 14 ,(2006) , 10.1214/088342306000000060