WWW / The Web Conference

GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework

GRank: 向目标感知和流线化的工业检索迈进：一种生成-排序框架

Yijia Sun, Shanshan Huang, Zhiyuan Guan, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou

AI总结 GRank提出一种无需结构化索引的检索方法，通过目标感知学习与用户导向检索的结合，提升召回率和响应速度，实验证明其在工业级推荐系统中表现优异。

Comments Proceedings of the ACM Web Conference 2026 (WWW '26), April 13--17, 2026, Dubai, United Arab Emirates