650 citations · 1.3k across the 33 of their papers we have counts for
3 papers · 1 filter
Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation
Xiaoshu Chen, Xiangsheng Li, Kunliang Wei +4
Eliminating examination bias accurately is pivotal to apply click-through data to train an unbiased ranking model. However, most examination-bias estimators are limited to the hypo…
Pretraining De-Biased Language Model with Large-scale Click Logs for Document Ranking
Xiangsheng Li, Xiaoshu Chen, Kunliang Wei +4
Pre-trained language models have achieved great success in various large-scale information retrieval tasks. However, most of pretraining tasks are based on counterfeit retrieval da…
Further Theoretical Study of Distribution Separation Method for Information Retrieval
Peng Zhang, Qian Yu, Yuexian Hou +3
Recently, a Distribution Separation Method (DSM) is proposed for relevant feedback in information retrieval, which aims to approximate the true relevance distribution by separating…