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Who Is Earning? Understanding and Modeling the Virtual Gifts Behavior of Users in Live Streaming Economy

机译:谁在赚钱?实时流经济中用户虚拟礼物行为的理解和建模

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摘要

Recently, live streaming is gaining increasing en- thusiasm, like Twitch, Inke and YouTube. Online streamers can interact with viewers in real time in live platforms with audio, video and text. The virtual gift is one of the most important business models for these live streaming platforms. The viewers can purchase and send virtual gifts to the streamers during the live process. These behaviors have great market potential and economic value, but little previous research paid attention about this. In this paper, we measured the basic information and economic behavior of users on a large representative live streaming platform (Inke1). To be specific, we discovered 20% of viewers contributed 97% of all gifts, and 77% of viewers only present for top three streamers. Especially, we also found that most gifting behaviors broke out in short periods when barrage increased, and gifting behaviors could be inspired by others due to competitiveness. Moreover, we investigated the correlation of various factors, proposed a decision tree based prediction model to infer the future revenue of the streamers. The result will bring benefit for both industrial entrepreneurs (for improving the design of the system operating mechanism of live platforms) and researchers (for interesting problems in personalized recommendation, etc.).
机译:最近,实时流媒体(例如Twitch,Inke和YouTube)越来越受到人们的欢迎。在线流媒体可以在实时平台上通过音频,视频和文本与观众实时互动。对于这些实时流媒体平台,虚拟礼物是最重要的商业模式之一。观众可以在直播过程中购买虚拟礼物并将其发送给彩带。这些行为具有巨大的市场潜力和经济价值,但是以前很少有研究对此进行关注。在本文中,我们测量了大型代表性实时流媒体平台(Inke1)上用户的基本信息和经济行为。具体来说,我们发现20%的观众贡献了97%的礼物,而77%的观众只出现在前三位彩带中。尤其是,我们还发现,大多数弹力行为是在弹幕增加后的短时间内爆发的,并且由于竞争力,馈赠行为可能会受到其他行为的启发。此外,我们调查了各种因素的相关性,提出了一种基于决策树的预测模型来推断彩带的未来收益。结果将为工业企业家(用于改进实时平台的系统运行机制的设计)和研究人员(用于个性化推荐中的有趣问题等)带来好处。

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