论文标题
谁会支持我的项目？通过INSEARCOME搜索潜在众筹投资者的互动式搜索
Who Will Support My Project? Interactive Search of Potential Crowdfunding Investors Through InSearch
论文作者
论文摘要
众筹为项目创始人提供了一种方便的方式来吸引在线投资者。但是，对于创始人来说，找到最潜在的投资者并成功地在众筹平台上为其项目筹集资金是一个挑战。已经提出了一些基于机器学习的方法，以推荐投资者对特定众筹项目的兴趣，但他们未能为项目创始人提供这些建议的详细说明，从而导致对预测投资者的信任侵蚀。为了帮助众筹创始人找到真正感兴趣的投资者，我们对四个众筹专家和礼物Insearch（一种视觉分析系统）进行了半结构化访谈。 Insearch允许创始人在众筹平台上交互搜索投资者。它通过利用图形神经网络来模拟投资者的偏好来支持潜在投资者的有效概述。此外，它还可以互动探索和比较不同投资者投资细节的时间演变。
Crowdfunding provides project founders with a convenient way to reach online investors. However, it is challenging for founders to find the most potential investors and successfully raise money for their projects on crowdfunding platforms. A few machine learning based methods have been proposed to recommend investors' interest in a specific crowdfunding project, but they fail to provide project founders with explanations in detail for these recommendations, thereby leading to an erosion of trust in predicted investors. To help crowdfunding founders find truly interested investors, we conducted semi-structured interviews with four crowdfunding experts and presents inSearch, a visual analytic system. inSearch allows founders to search for investors interactively on crowdfunding platforms. It supports an effective overview of potential investors by leveraging a Graph Neural Network to model investor preferences. Besides, it enables interactive exploration and comparison of the temporal evolution of different investors' investment details.
