Edge formation in Social Networks to Nurture Content Creators

Chun Lo, Emilie de Longueau, Ankan Saha, S. Chatterjee
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引用次数: 5

Abstract

Social networks act as major content marketplaces where creators and consumers come together to share and consume various kinds of content. Content ranking applications (e.g., newsfeed, moments, notifications) and edge recommendation products (e.g., connect to members, follow celebrities or groups or hashtags) on such platforms aim at improving the consumer experience. In this work, we focus on the creator experience and specifically on improving edge recommendations to better serve creators in such ecosystems. The audience and reach of creators – individuals, celebrities, publishers and companies – are critically shaped by these edge recommendation products. Hence, incorporating creator utility in such recommendations can have a material impact on their success, and in turn, on the marketplace. In this paper, we (i) propose a general framework to incorporate creator utility in edge recommendations, (ii) devise a specific method to estimate edge-level creator utilities for currently unformed edges, (iii) outline the challenges of measurement and propose a practical experiment design, and finally (iv) discuss the implementation of our proposal at scale on LinkedIn, a professional network with 645M+ members, and report our findings.
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社交网络的优势形成以培养内容创作者
社交网络是主要的内容市场,创作者和消费者聚集在一起分享和消费各种内容。这些平台上的内容排名应用程序(例如,新闻推送,朋友圈,通知)和边缘推荐产品(例如,连接到成员,关注名人或组或标签)旨在改善消费者体验。在这项工作中,我们专注于创作者的体验,特别是改进边缘推荐,以更好地为这样的生态系统中的创作者服务。这些边缘推荐产品极大地塑造了创作者(个人、名人、出版商和公司)的受众和影响力。因此,在这些推荐中加入创建者实用程序可以对它们的成功产生重大影响,进而对市场产生影响。在本文中,我们(i)提出了一个将创建者效用纳入边缘建议的一般框架,(ii)设计了一种特定的方法来估计当前未形成边缘的边缘级创建者效用,(iii)概述了测量的挑战并提出了一个实用的实验设计,最后(iv)讨论了我们的建议在LinkedIn(一个拥有6.45亿多成员的专业网络)上的大规模实施,并报告了我们的发现。
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