探索机制如何激发创作者生产,提升内容池活力。
Content Exploration Beyond the Feed: Creator Supply and the Shared Corpus
- 通过预算分配激励创作者生产,提升发布数量和活跃率。
- 短期实验显示视频播放量增1.74%,但观看时长降2.13%。
- 需设计长期实验以捕捉内容池的完整价值,适合平台优化者参考。
工业级推荐系统通过预算化探索为新内容提供初始曝光,再依据早期表现决定后续分发。在多个短视频平台,探索是新视频触达用户的主要方式。现有观众侧测试关注消费行为,但忽略创作者响应。本文分析了某主流短视频平台四项实验:八个月创作者消融实验表明,生产探索使每位创作者发布的视频数提升8.55%,至少发布一次的创作者比例提升7.10%;预算对等重分配可提升创作者参与度,短期内无明显观众端变化;一年期观众消融实验发现播放量增加1.74%,但观看时长减少2.13%。一次投放带来的观看可产生即时Feed价值,触发自然传播并刺激创作者持续供给。传播与供给共同补充共享内容池,形成双重测量限制。观众侧A/B测试若两组使用相同内容池,则会抵消池效应;若每组独享内容池,仍受池周转率w控制。一个t周期实验最多观测到wt的最终池效应。更多用户降低噪声但不加快周转。在池效应曲线未明显弯曲前,无法区分快速小效应与缓慢大效应,导致置信区间可能无上界。正如预测,三周协同分流实验无法判断最终池效应方向。但在窗口期内可识别直接Feed效应,探索性队列分析亦在探索结束后发现自然增长。实验验证了创作者的正向响应,测得三周内可见的总池流规模,并揭示了识别完整价值所需的设计与周期。
原文摘要 · Abstract (English)
Industrial recommenders give new content initial views through budgeted exploration, then use early performance to decide further delivery. On many short-video platforms, exploration is the primary way new videos reach viewers. Viewer-side tests measure consumption; the published budget objectives we review omit creator response. We analyze four experiments on a major short-video platform. An eight-month creator ablation finds production exploration raises videos posted per creator by 8.55% and creators posting at least once by 7.10% relative to a minimal floor. A budget-matched reallocation raises creator participation with no detectable short-run viewer-side change. A year-long viewer ablation finds 1.74% more video views but 2.13% less view time. A delivered view creates immediate feed value, can trigger organic take-up, and can induce creator supply. Take-up and supply replenish a shared corpus, creating two measurement limits. Viewer-side A/B tests cancel the corpus effect when both arms consume the same corpus. Giving each arm its own corpus avoids cancellation, but turnover still controls the horizon. If the corpus turns over at rate w per posting cycle, a t-cycle experiment expresses at most wt of the eventual corpus effect. More users reduce noise but do not speed turnover. Before the corpus path visibly bends, data cannot distinguish a modest fast effect from an arbitrarily large slow one, so a valid confidence interval may lack a finite upper endpoint. As predicted, the three-week co-diverted experiment cannot determine the sign of the eventual corpus effect. Within the window, it identifies the direct feed effect, and an exploratory cohort analysis detects organic lift after exploration ends. The experiments establish a positive creator response, measure the gross corpus flow visible within three weeks, and show the design and duration needed to identify total value.
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