Yuanyuan Shen, Yiren Yan, Wenjie Li, Chunhui Zhu
arXiv 29 Aug 2026 · cs.IR
arXiv:2608.29430 · PDF · Extracted main text
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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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Hong Jun Jeon and Songbin Liu and Yuantong Li and Jie Lyu and Hunter… (2024) Epinet for Content Cold Start | 0.843 | 3 | 3 | 100% |
| 2 | Yi Su and Xiangyu Wang and Elaine Ya Le and Liang Liu and Yuening Li… (2024) Long-Term Value of Exploration: Measurements, Findings and Algorithms | 0.811 | 4 | 2 | 100% |
| 3 | Qijie Shen and Yuanchen Bei and Zihong Huang and Jialin Zhu and Keqi… (2025) AliBoost: Ecological Boosting Framework in Alibaba Platform | 0.737 | 3 | 2 | 100% |
| 4 | Shen, Yuanyuan and Yan, Yiren and Li, Wenjie and Zhu, Chunhui (2026) The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing self | 0.737 | 3 | 2 | 100% |
| 5 | Dong Wang and Junyi Jiao and Arnab Bhadury and Yaping Zhang and Ming… (2024) Item Level Exploration Traffic Allocation in Large-Scale Recommendation Systems | 0.737 | 3 | 2 | 100% |
| 6 | Hemant K. Bhargava (2022) The Creator Economy: Managing Ecosystem Supply, Revenue Sharing, and Platform Design | 0.644 | 2 | 2 | 100% |
| 7 | Minmin Chen and Yuyan Wang and Can Xu and Ya Le and Mohit Sharma and… (2021) Values of User Exploration in Recommender Systems | 0.644 | 2 | 2 | 100% |
| 8 | Gaode Chen and Ruina Sun and Yinjie Jiang and Tianxiang Li and Yinlo… (2025) A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective | 0.644 | 2 | 2 | 100% |
| 9 | Qinlu Hu and Ao Huang and Ni (Nina) Huang and Renyu Zhang (2026) Attention as Investment: Traffic Allocation for Long Tail Creators | 0.644 | 2 | 2 | 100% |
| 10 | Kun Qian and Sanjay Jain (2024) Digital Content Creation: An Analysis of the Impact of Recommendation Systems | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 37 scored citations.