1 citations · 1 across the 5 of their papers we have counts for
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SEEK: Skill-Routed Evaluation with Evolvable Knowledge for Industrial Search
Zhongxin Huang, Songyang Li, Renzhe Zhou +5
Search quality evaluation provides essential supervision and diagnostic signals for the development and iteration of industrial search systems. Although large language models (LLMs…
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…
SaFRO: Satisfaction-Aware Fusion via Dual-Relative Policy Optimization for Short-Video Search
Renzhe Zhou, Songyang Li, Feiran Zhu +4
Multi-Task Fusion plays a pivotal role in industrial short-video search systems by aggregating heterogeneous prediction signals into a unified ranking score. However, existing appr…
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
Zhirui Kuai, Zuxu Chen, Huimu Wang +11
Generative retrieval (GR) has emerged as a transformative paradigm in search and recommender systems, leveraging numeric-based identifier representations to enhance efficiency and…
Generative Retrieval with Preference Optimization for E-commerce Search
Mingming Li, Huimu Wang, Zuxu Chen +5
Generative retrieval introduces a groundbreaking paradigm to document retrieval by directly generating the identifier of a pertinent document in response to a specific query. This…