Interactive Multi-Turn Retrieval for Health Videos
The growing availability of health-related instructional videos creates new opportunities for clinical training, patient rehabilitation, and health education, yet existing retrieval systems remain largely single-turn: a user submits one query and receives one ranked list. This interaction is brittle in health scenarios, where information needs are often vague at first and become clinically meaningful only after follow-up constraints such as posture, hand placement, contraindications, equipment, or patient condition are specified. We introduce interactive multi-turn semantic retrieval for health videos and construct MHVRC, a Multi-Turn Health Video Retrieval Corpus, by combining video-grou...
| Authors | Chengzheng Wu, Ke Qiu, Baoming Zhang et al. |
|---|---|
| Primary category | cs.IR |
| Published | 2 May 2026 |
| Last updated at source | 2 May 2026 |
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