Cover Image

Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Zeyan, McDonald, Graham, Ounis, Iadh
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Query Exposure Prediction for Groups of Documents in Rankings
by: Jaenich, Thomas, et al.
Published: (2024)

Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
by: Dey, Ritajit, et al.
Published: (2026)

Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer
by: Chari, Andreas, et al.
Published: (2025)

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation
by: Meng, Zeyuan, et al.
Published: (2025)

Quantifying Query Fairness Under Unawareness
by: Jaenich, Thomas, et al.
Published: (2025)

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation
by: Meng, Zeyuan, et al.
Published: (2025)

A Directional Diffusion Graph Transformer for Recommendation
by: Yi, Zixuan, et al.
Published: (2024)

LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
by: Chandra, Manish, et al.
Published: (2026)

Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023
by: Parry, Andrew, et al.
Published: (2024)

All Eyes on the Ranker: Participatory Auditing to Surface Blind Spots in Ranked Search Results
by: Rezk, Anna Marie, et al.
Published: (2026)

Lost in Transliteration: Bridging the Script Gap in Neural IR
by: Chari, Andreas, et al.
Published: (2025)

SARA: A Collection of Sensitivity-Aware Relevance Assessments
by: McKechnie, Jack, et al.
Published: (2024)

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
by: Jin, Jiarui, et al.
Published: (2024)

Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias
by: Dehghan, Mahdi, et al.
Published: (2026)

Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems
by: McKechnie, Jack, et al.
Published: (2025)

Addressing Personalized Bias for Unbiased Learning to Rank
by: Niu, Zechun, et al.
Published: (2025)

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
by: Yu, Lulu, et al.
Published: (2025)

Whole Page Unbiased Learning to Rank
by: Mao, Haitao, et al.
Published: (2022)

Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
by: Zhao, Haiyuan, et al.
Published: (2022)

Are Generative AI Agents Effective Personalized Financial Advisors?
by: Takayanagi, Takehiro, et al.
Published: (2025)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
by: Hager, Philipp, et al.
Published: (2025)

Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank
by: Yu, Lulu, et al.
Published: (2024)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
by: Hager, Philipp, et al.
Published: (2025)

Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
by: Hager, Philipp, et al.
Published: (2024)

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
by: Chen, Mouxiang, et al.
Published: (2023)

Rank4Gen: RAG-Preference-Aligned Document Set Selection and Ranking
by: Fan, Yongqi, et al.
Published: (2026)

Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling
by: Subbiah, Anushya, et al.
Published: (2024)

DenoiseRank: Learning to Rank by Diffusion Models
by: Wang, Ying, et al.
Published: (2026)

Propagating Similarity, Mitigating Uncertainty: Similarity Propagation-enhanced Uncertainty for Multimodal Recommendation
by: Wu, Xinzhuo, et al.
Published: (2026)

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
by: Zhuang, Shengyao, et al.
Published: (2025)

Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation
by: Wang, Xinhua, et al.
Published: (2023)

BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination
by: Abdallah, Abdelrahman, et al.
Published: (2026)

Detecting Privileged Documents by Ranking Connected Network Entities
by: Zhang, Jianping, et al.
Published: (2025)

Weighted KL-Divergence for Document Ranking Model Refinement
by: Yang, Yingrui, et al.
Published: (2024)

Unbiased Multimodal Reranking for Long-Tail Short-Video Search
by: Xu, Wenyi, et al.
Published: (2026)

Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
by: Kang, Jingwei, et al.
Published: (2024)

Automated Similarity Metric Generation for Recommendation
by: Qu, Liang, et al.
Published: (2024)

RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation
by: Fu, Kairui, et al.
Published: (2026)

RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
by: Yan, YaChen, et al.
Published: (2024)

REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
by: Wang, Pinhuan, et al.
Published: (2025)