English(EN) CRM: Retrieval Model with Controllable Condition

快手部署新型检索模型以提升视频观看时长

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-12 04:00

研究人员开发了一种可控检索模型（CRM），旨在通过将期望的观看时长作为条件来提高推荐系统的效率。该框架使用深度神经网络和决策Transformer实现，通过输入目标观看时长，无需重新训练即可引导检索。CRM已部署在快手短视频推荐系统中，用户观看时长得到可衡量的提升。 AI

影响这种新型检索模型可以通过根据期望的观看时长进行个性化内容推荐，从而提高短视频平台的用户参与度。

排序理由发布了一篇详细介绍新型AI模型及其应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 11 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 发布了一篇详细介绍新型AI模型及其应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, product, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

arXiv cs.AI TIER_1 English(EN) · Chi Liu, Jiangxia Cao, Rui Huang, Kuo Cai, Weifeng Ding, Qiang Luo, Kun Gai, Guorui Zhou · 2026-10-12 04:00

CRM：具有可控条件的检索模型

arXiv:2412.13844v2 Announce Type: replace-cross Abstract: Retrieval models for recommendation need to account for outcomes such as watch time while searching large item corpora efficiently. We present the Controllable Retrieval Model (CRM), an outcome-conditioned retrieval framew…