发表机构
Snap Inc.（Snap公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究通过短视频平台的四项实验，证实生产探索可提升创作者供给与参与度，测量了三周内的共享语料库流量，并明确了识别语料库总价值的实验设计与时长要求。
AI 中文摘要
工业推荐系统通过预算内探索为新内容提供初始曝光，再依据早期表现决定后续推送。在众多短视频平台中，探索是新视频触达观众的主要方式。观众侧测试衡量消费情况，但我们所研究的已发布预算目标未考虑创作者的响应。我们分析了某大型短视频平台的四项实验：一项为期八个月的创作者 ablation（消融）实验发现，与最低基准相比，生产探索使每位创作者发布的视频数量增加了8.55%，至少发布一次的创作者数量增加了7.10%；预算匹配的重新分配在未检测到观众侧短期变化的情况下提高了创作者参与度；一项为期一年的观众 ablation 实验发现，视频观看量增加了1.74%，但观看时长减少了2.13%。一次推送的观看量会立即产生信息流价值，可触发自然获取并诱导创作者供给，而获取与供给会补充共享语料库，这造成了两项测量限制：观众侧A/B测试在两组消耗相同语料库时会抵消语料库效应；为每组分配独立语料库可避免抵消，但更替仍会控制时间范围——若语料库在每个发布周期以速率w更替，一项t周期实验最多只能表达wt的最终语料库效应。更多用户会减少噪声但不会加快更替，在语料库路径明显变化前，数据无法区分适度的快速效应与任意大的慢速效应，因此有效置信区间可能缺乏有限上限。正如预测，为期三周的协同分流实验无法确定最终语料库效应的符号，该窗口内它仅识别直接信息流效应，且一项探索性队列分析在探索结束后检测到自然提升。这些实验证实了创作者的积极响应，测量了三周内可见的总语料库流量，并确定了识别总价值所需的设计与时长。
英文摘要
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.
