为学术用户定制科研内容推荐流，支持去中心化社交平台持续使用
Paper Skygest: Personalized Academic Recommendations on Bluesky
- 基于去中心化平台能力构建个性化推荐流，可像原生功能一样部署使用
- 每周超5万次使用，1000+日活用户，显著提升科研内容互动率
- 开源代码与架构设计，助力学者自主搭建可持续推荐系统
我们构建、部署并评估了Paper Skygest，一个针对Bluesky及AT协议上用户社交网络发布的科学内容的个性化社交信息流。利用新兴去中心化社交平台的新能力——任何人都可为其他用户构建并部署信息流，如同使用平台原生功能一般。据我们所知，Paper Skygest是首个且规模最大的由学术界持续部署的个性化社交信息流，每周使用超过50,000次，每日活跃用户超1,000人，均为自然获取。首先，我们定量与定性评估其使用情况，表明其具备持续使用价值并满足用户需求；进一步显示使用该系统可提升用户对科研内容的互动，且互动率随帖子排序变化。其次，我们公开全部代码并描述系统架构，以支持其他学者可持续地构建和部署此类信息流。第三，我们概述了如Paper Skygest这类自定义信息流在算法设计研究、用户自主权赋能以及无需与中心化平台合作即可开展推荐系统实验方面的潜力。
原文摘要 · Abstract (English)
We build, deploy, and evaluate Paper Skygest, a custom personalized social feed for scientific content posted by a user's network on Bluesky and the AT Protocol. We leverage a new capability on emerging decentralized social media platforms: the ability for anyone to build and deploy feeds for other users, to use just as they would a native platform-built feed. To our knowledge, Paper Skygest is the first and largest such continuously deployed personalized social media feed by academics, with over 50,000 weekly uses by over 1,000 daily active users, all organically acquired. First, we quantitatively and qualitatively evaluate Paper Skygest usage, showing that it has sustained usage and satisfies users; we further show adoption of Paper Skygest increases a user's interactions with posts about research, and how interaction rates change as a function of post order. Second, we share our full code and describe our system architecture, to support other academics in building and deploying such feeds sustainably. Third, we overview the potential of custom feeds such as Paper Skygest for studying algorithm designs, building for user agency, and running recommender system experiments with organic users without partnering with a centralized platform.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。