Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems

no code implementations • 8 May 2024 • Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang song, Hongning Wang, Kun Gai

To address this issue, we propose an improved ranking principle for multi-stage systems, namely the Generalized Probability Ranking Principle (GPRP), to emphasize both the selection bias in each stage of the system pipeline as well as the underlying interest of users.

Information Retrieval Learning-To-Rank +3