contrastive learning 1embedding fusion 1incremental video search 1personalized search 1ranking models 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Personalizing Incremental Video Search with Hybrid Text and ID Embeddings
Vivek Kanojiya, Vishalaksh Aggarwal, Daeho Baek +2
The paper introduces a system for personalizing incremental video search on Apple TV by combining text‑based multilingual embeddings and ID‑based collaborative embeddings, using re…
cs.IR2026
Adaptive Model Compression (AMC): Saliency-Driven Resource Allocation for Ultra-Low-Power Transformer Inference
Jiayin Hu, Kai Yuan, Vanessa Hu +3
Deploying large-scale transformer models on resource-constrained edge devices remains a challenge due to the high energy and memory overhead inherent in static inference, which pro…
cs.IR2026
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
Kai Yuan, Anthony Zheng, Jia Hu +9
Query Auto-Completion (QAC) suggests query completions as users type, helping them articulate intent and reach results more efficiently. Existing approaches face fundamental challe…