Cover Image

Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gou, Jinrui, Liu, Yifan, Shao, Minghao, Suel, Torsten
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeeperImpact: Optimizing Sparse Learned Index Structures
by: Basnet, Soyuj, et al.
Published: (2024)

Faster Learned Sparse Retrieval with Block-Max Pruning
by: Mallia, Antonio, et al.
Published: (2024)

Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
by: Al-Jazzazi, Yousef, et al.
Published: (2025)

Top-Personalized-K Recommendation
by: Kweon, Wonbin, et al.
Published: (2024)

Forward Index Compression for Learned Sparse Retrieval
by: Bruch, Sebastian, et al.
Published: (2026)

Efficiently Constructing Sparse Navigable Graphs
by: Conway, Alex, et al.
Published: (2025)

TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
by: Chen, Sirui, et al.
Published: (2026)

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations
by: Bruch, Sebastian, et al.
Published: (2024)

A Comprehensive Review on Hashtag Recommendation: From Traditional to Deep Learning and Beyond
by: Bansal, Shubhi, et al.
Published: (2025)

Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies
by: Yu, Puxuan, et al.
Published: (2024)

Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
by: Que, Yue, et al.
Published: (2025)

Beyond the Trigger: Learning Collaborative Context for Generalizable Trigger-Induced Recommendation
by: Gao, Chen, et al.
Published: (2024)

An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments
by: Farzi, Naghmeh, et al.
Published: (2024)

Position Bias Estimation with Item Embedding for Sparse Dataset
by: Ishikawa, Shion, et al.
Published: (2023)

Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?
by: Lin, Jimmy
Published: (2024)

Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations
by: Bruch, Sebastian, et al.
Published: (2024)

Intent-Guided Reasoning for Sequential Recommendation
by: Shao, Yifan, et al.
Published: (2025)

Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2026)

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
by: Nguyen, Quang-Huy, et al.
Published: (2026)

Autoregressive Generation Strategies for Top-K Sequential Recommendations
by: Volodkevich, Anna, et al.
Published: (2024)

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

Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods
by: Yang, Jinrui, et al.
Published: (2025)

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

Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems
by: Yang, Weiqin, et al.
Published: (2025)

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

Statistical Foundations of DIME: Risk Estimation for Practical Index Selection
by: D'Erasmo, Giulio, et al.
Published: (2026)

Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights
by: Qiao, Yifan, et al.
Published: (2024)

Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search
by: Bao, Wentian, et al.
Published: (2024)

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation
by: Shao, Yifan, et al.
Published: (2025)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation
by: Luo, Sichun, et al.
Published: (2023)

Indexing Depth and Retrieval Effectiveness
by: Seely, Barbara J.
Published: (1972)

LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval
by: Yang, Yingrui, et al.
Published: (2025)

Meta Learning to Rank for Sparsely Supervised Queries
by: Wu, Xuyang, et al.
Published: (2024)

Leveraging Decoder Architectures for Learned Sparse Retrieval
by: Qiao, Jingfen, et al.
Published: (2025)

Efficient Learning of Sparse Representations from Interactions
by: Vančura, Vojtěch, et al.
Published: (2026)

Top-Down Partitioning for Efficient List-Wise Ranking
by: Parry, Andrew, et al.
Published: (2024)

Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
by: Zhang, Shengjia, et al.
Published: (2026)

Top-P Masking for Cross Language Information Retrieval
by: Casale, Joseph, et al.
Published: (2025)

On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents
by: Lionis, Emmanouil Georgios, et al.
Published: (2025)

Effective Inference-Free Retrieval for Learned Sparse Representations
by: Nardini, Franco Maria, et al.
Published: (2025)