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arXiv 1409.7489cs.SIcs.CYcs.HCphysics.soc-phstat.ML
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为众筹项目推荐投资者

Recommending Investors for Crowdfunding Projects

Jisun An, Daniele Quercia, Jon Crowcroft

摘要:

为了把他们的创新想法推向市场,那些从事新企业的人必须筹集资金,为此,他们经常求助于银行和风险资本家。如今,他们有了一个额外的选择:众筹。这个名字指的是资金来自互联网上热衷于支持他人项目的人的网络。最受欢迎的众筹网站之一是Kickstarter。在其中,创作者发布他们的项目描述并在社交媒体网站(主要是Twitter)上进行广告宣传,而投资者则寻找支持的项目。项目失败的最常见原因是创始人无法与足够数量的投资者建立联系,这主要是因为迄今为止还没有任何自动匹配创建者和投资者的方法。因此,我们开始提出不同的方式来推荐Twitter上找到的特定Kickstarter项目的投资者。我们这样做是通过进行假设驱动的分析承诺的行为,并将相应的研究结果转化为不同的推荐策略。最佳策略在预测任何给定项目的潜在投资者Twitter账户列表时,平均准确率达到84%。我们的研究结果还提供了关于投资者决定支持创新努力的原因和原因的关键见解。

英文摘要:

To bring their innovative ideas to market, those embarking in new ventures have to raise money, and, to do so, they have often resorted to banks and venture capitalists. Nowadays, they have an additional option: that of crowdfunding. The name refers to the idea that funds come from a network of people on the Internet who are passionate about supporting others' projects. One of the most popular crowdfunding sites is Kickstarter. In it, creators post descriptions of their projects and advertise them on social media sites (mainly Twitter), while investors look for projects to support. The most common reason for project failure is the inability of founders to connect with a sufficient number of investors, and that is mainly because hitherto there has not been any automatic way of matching creators and investors. We thus set out to propose different ways of recommending investors found on Twitter for specific Kickstarter projects. We do so by conducting hypothesis-driven analyses of pledging behavior and translate the corresponding findings into different recommendation strategies. The best strategy achieves, on average, 84% of accuracy in predicting a list of potential investors' Twitter accounts for any given project. Our findings also produced key insights about the whys and wherefores of investors deciding to support innovative efforts.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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