论文标题
众筹的动态和合作跟踪系统
A Dynamic and Cooperative Tracking System for Crowdfunding
论文作者
论文摘要
众筹是一个新兴的财务平台，可通过使用互联网从大量个人那里征求相对较小的贡献来为他们的努力提供资金。由于独特的规则，仅当广告系列在给定时间内收取足够的资金时才成功进行交易。为了防止创作者和支持者浪费时间和努力，动态估计竞选的成功概率非常重要。但是，现有的众筹系统既没有动态预测跟踪的机制，也没有为平台上的创建者和支持者提供实时活动状态。为了解决这些问题，我们开发了一个新型系统，该系统包含一种动态数据驱动的方法来跟踪成功概率和状态。我们使用系统演示以下方案。首先，用户可以利用我们的系统来分析增量审查的情绪，以了解支持者对运动的观点。同时，我们的系统可视化正面和负面评论的统计数字。在此基础上，我们的系统可以动态跟踪每个广告系列的成功概率。
Crowdfunding is an emerging finance platform for creators to fund their efforts by soliciting relatively small contributions from a large number of individuals using the Internet. Due to the unique rules, a campaign succeeds in trading only when it collects adequate funds in a given time. To prevent creators and backers from wasting time and efforts on failing campaigns, dynamically estimating the success probability of a campaign is very important. However, existing crowdfunding systems neither have the mechanism of dynamic predictive tracking, nor provide the real-time campaign status for creators and backers on the platform. To address these issues, we develop a novel system, which contains a dynamic data-driven approach to tracking the success probability and status. We demonstrate the following scenarios using our system. First, users can utilize our system to analyze the emotion of incremental reviews so as to understand backers' perspectives of the campaign in time. Meanwhile, our system visualizes the statistic number of positive and negative reviews. On this basis, our system can dynamically track the success probability of each campaign.
