AI助手让直播带货更高效，一键问答+提前写稿
Click-to-Ask: An AI Live Streaming Assistant with Offline Copywriting and Online Interactive QA
- 离线生成结构化商品信息和合规文案，线上实时响应观众提问
- 在TikTok数据集上问答识别准确率达91.3%，回复质量得分87.6
- 适合主播快速准备直播内容，提升互动效率与转化效果
直播电商已成为现代主流广播形式。为帮助主播更高效便捷地推广商品，我们提出Click-to-Ask，一个兼具离线与在线模块的AI直播助手。离线模块处理多模态商品信息，将复杂输入转化为结构化数据并生成合规宣传文案；直播中，线上模块通过点击问题实现实时响应，结合离线生成的结构化信息与流式架构维护的事件级历史记忆。该系统显著缩短准备时间，提升内容互动性，并实现对观众提问的即时回应，有效增强直播带货效果。在自建的TikTok直播画面数据集上，所提方法取得0.913的问答识别准确率与0.876的回复质量评分，展现出良好的应用潜力。
原文摘要 · Abstract (English)
Live streaming commerce has become a prominent form of broadcasting in the modern era. To facilitate more efficient and convenient product promotions for streamers, we present Click-to-Ask, an AI-driven assistant for live streaming commerce with complementary offline and online components. The offline module processes diverse multimodal product information, transforming complex inputs into structured product data and generating compliant promotional copywriting. During live broadcasts, the online module enables real-time responses to viewer inquiries by allowing streamers to click on questions and leveraging both the structured product information generated by the offline module and an event-level historical memory maintained in a streaming architecture. This system significantly reduces the time needed for promotional preparation, enhances content engagement, and enables prompt interaction with audience inquiries, ultimately improving the effectiveness of live streaming commerce. On our collected dataset of TikTok live stream frames, the proposed method achieves a Question Recognition Accuracy of 0.913 and a Response Quality score of 0.876, demonstrating considerable potential for practical application. The video demonstration can be viewed here: https://www.youtube.com/shorts/mWIXK-SWhiE.
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