5 papers
SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search
Guowen Li, Yuepeng Zhang, Shunyu Zhang +4
Large-scale short-video search ranking models are typically trained on sparse co-occurrence signals over hashed item identifiers (HIDs). While effective at memorizing frequent inte…
Dual-Rerank: Fusing Causality and Utility for Industrial Generative Reranking
Chao Zhang, Shuai Lin, ChengLei Dai +5
Kuaishou serves over 400 million daily active users, processing hundreds of millions of search queries daily against a repository of tens of billions of short videos. As the final…
Unbiased Multimodal Reranking for Long-Tail Short-Video Search
Wenyi Xu, Feiran Zhu, Songyang Li +6
Kuaishou serving hundreds of millions of searches daily, the quality of short-video search is paramount. However, it suffers from a severe Matthew effect on long-tail queries: spar…
Hierarchical Dual-Strategy Unlearning for Biomedical and Healthcare Intelligence Using Imperfect and Privacy-Sensitive Medical Data
Yi Zhang, Chao Zhang, Zijian Li +7
Large language models (LLMs) exhibit exceptional performance but pose substantial privacy risks due to training data memorization, particularly within healthcare contexts involving…
CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms
Peiyuan Gong, Feiran Zhu, Yaqi Yin +6
Short-video platforms have rapidly become a new generation of information retrieval systems, where users formulate queries to access desired videos. However, user queries, especial…