{"ID":2879483,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.16454","arxiv_id":"2508.16454","title":"Towards User-level QoE: Large-scale Practice in Personalized Optimization of Adaptive Video Streaming","abstract":"Traditional optimization methods based on system-wide Quality of Service (QoS) metrics have approached their performance limitations in modern large-scale streaming systems. However, aligning user-level Quality of Experience~(QoE) with algorithmic optimization objectives remains an unresolved challenge. Therefore, we propose \\texttt{LingXi}, the first large-scale deployed system for personalized adaptive video streaming based on user-level experience. \\texttt{LingXi} dynamically optimizes the objectives of adaptive video streaming algorithms by analyzing user engagement. Utilizing exit rate as a key metric, we investigate the correlation between QoS indicators and exit rates based on production environment logs, subsequently developing a personalized exit rate predictor. Through Monte Carlo sampling and online Bayesian optimization, we iteratively determine optimal parameters. Large-scale A/B testing utilizing 8\\% of traffic on Kuaishou, one of the largest short video platforms, demonstrates \\texttt{LingXi}'s superior performance. \\texttt{LingXi} achieves a 0.15\\% increase in total viewing time, a 0.1\\% improvement in bitrate, and a 1.3\\% reduction in stall time across all users, with particularly significant improvements for low-bandwidth users who experience a 15\\% reduction in stall time.","short_abstract":"Traditional optimization methods based on system-wide Quality of Service (QoS) metrics have approached their performance limitations in modern large-scale streaming systems. However, aligning user-level Quality of Experience~(QoE) with algorithmic optimization objectives remains an unresolved challenge. Therefore, we p...","url_abs":"https://arxiv.org/abs/2508.16454","url_pdf":"https://arxiv.org/pdf/2508.16454v1","authors":"[\"Lianchen Jia\",\"Chao Zhou\",\"Chaoyang Li\",\"Jiangchuan Liu\",\"Lifeng Sun\"]","published":"2025-08-22T15:14:22Z","proceeding":"cs.MM","tasks":"[\"cs.MM\",\"eess.IV\"]","methods":"[]","has_code":false}