Facebook 推出 Your Algorithm 功能,可用自然语言定制信息流与 Reels 推荐
Facebook will let you customize your feed algorithm using AI
- 1Facebook 推出 Your Algorithm 功能,用户可直接添加和管理信息流与 Reels 想看的主题
- 2Meta 称用户点选感兴趣或不感兴趣、或用自然语言描述偏好后,推荐实时更新并在同一会话内生效
- 3Meta 称排序系统正更多使用 LLM,让算法能理解自然语言背后的兴趣、上下文与意图
- 4该功能年初已在 Instagram 上线,Threads 也有类似的 Dear Algo,此次扩展到 Facebook
Meta 把信息流算法的部分控制权交给用户,自然语言成为调节推荐的入口,LLM 进入排序系统让算法可以对话。
- 影响:内容在 Facebook 信息流的触达会更直接受用户主动标记的偏好影响;Meta 在 Instagram 与 Threads 已推出同类功能,多平台分发策略需要一并考虑。
- 参考:可考虑先算出自有内容在 Facebook 信息流中的推荐流量占比;值得整理内容所属的主题方向清单,对照用户可能标记不感兴趣的类目调整选题。
- 依据:推荐实时更新等说法均为 Meta 官方口径,暂无独立验证;功能扩展至 Facebook 及 Instagram、Threads 先例来自 The Verge 报道。
Stevie Bonifield
is a news writer covering all things consumer tech. Stevie started out at Laptop Mag writing news and reviews on hardware, gaming, and AI.
Facebook’s new “Your Algorithm” feature will let you directly add and manage topics you want to see in your feed and Facebook Reels. Meta says your recommendations “respond right away” after you make updates using the new feature by hitting “interested” or “not interested” for different topics. Your Algorithm previously launched on Instagram earlier this year, and Meta also launched a similar “Dear Algo” feature on Threads.
Facebook users will be able to access Your Algorithm or select “interested” or “not interested” from the three dots menu on individual posts. The “interested” and “not interested” buttons may also appear under posts, and Meta says it “may ask follow up questions for more detail on what you liked or disliked. You can easily tell us, in your own words, what you want to see more or less of, and your recommendations will update in real time.”
The new feature is part of a set of “AI-powered” tools Meta says it’s using to customize what users see on Facebook. It also says it’s using LLMs more in its ranking systems: “LLMs can incorporate the interests, context, and intent behind natural language, unlocking an algorithm you can actually talk to. Tell it what you want more or less of, and your recommendations respond in real time, adapting within the same session to reflect what matters to you right now.”
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- Stevie Bonifield
来源:The Verge · AI · theverge.com