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A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/pra2.2017.14505401037openalex-snapshot
An exploration of reasons for query reformulations
inferredcites →https://doi.org/10.1007/11575832openalex-snapshot
String Processing and Information Retrieval
inferredcites →https://doi.org/10.1007/978-3-030-72113-8_8openalex-snapshot
An Enhanced Evaluation Framework for Query Performance Prediction
inferredcites →https://doi.org/10.1007/978-3-540-78646-7_8openalex-snapshot
Effective Pre-retrieval Query Performance Prediction Using Similarity and Variability Evidence
inferredcites →https://doi.org/10.1007/978-3-642-16321-0_21openalex-snapshot
Standard Deviation as a Query Hardness Estimator
inferredcites →https://doi.org/10.1007/s10791-006-9006-4openalex-snapshot
Precision prediction based on ranked list coherence
inferredcites →https://doi.org/10.1007/s10791-010-9145-5openalex-snapshot
Modeling score distributions in information retrieval
inferredcites →https://doi.org/10.1016/0306-4573(94)00057-aopenalex-snapshot
Combining the evidence of multiple query representations for information retrieval
inferredcites →https://doi.org/10.1016/j.ipm.2018.10.009openalex-snapshot
Estimating Gaussian mixture models in the local neighbourhood of embedded word vectors for query performance prediction
inferredcites →https://doi.org/10.1108/eb026647openalex-snapshot
THE PROBABILITY RANKING PRINCIPLE IN IR
inferredcites →https://doi.org/10.1145/1076034.1076121openalex-snapshot
Learning to estimate query difficulty
inferredcites →https://doi.org/10.1145/1148170.1148238openalex-snapshot
What makes a query difficult?
inferredcites →https://doi.org/10.1145/1277741.1277835openalex-snapshot
Query performance prediction in web search environments
inferredcites →https://doi.org/10.1145/1277741.1277841openalex-snapshot
Performance prediction using spatial autocorrelation
inferredcites →https://doi.org/10.1145/1390334.1390377openalex-snapshot
Selecting good expansion terms for pseudo-relevance feedback
inferredcites →https://doi.org/10.1145/1458082.1458311openalex-snapshot
A survey of pre-retrieval query performance predictors
inferredcites →https://doi.org/10.1145/1835449.1835494openalex-snapshot
Using statistical decision theory and relevance models for query-performance prediction
inferredcites →https://doi.org/10.1145/1835449.1835683openalex-snapshot
Estimating the query difficulty for information retrieval
inferredcites →https://doi.org/10.1145/1842890.1842906openalex-snapshot
Predicting the effectiveness of queries and retrieval systems
inferredcites →https://doi.org/10.1145/1852102.1852106openalex-snapshot
A similarity measure for indefinite rankings
inferredcites →https://doi.org/10.1145/2009916.2010063openalex-snapshot
Improved query performance prediction using standard deviation
inferredcites →https://doi.org/10.1145/2180868.2180873openalex-snapshot
Predicting Query Performance by Query-Drift Estimation
inferredcites →https://doi.org/10.1145/2484028.2484069openalex-snapshot
Task-aware query recommendation
inferredcites →https://doi.org/10.1145/2559170openalex-snapshot
Document Score Distribution Models for Query Performance Inference and Prediction
inferredcites →https://doi.org/10.1145/2600428.2609508openalex-snapshot
On user interactions with query auto-completion
inferredcites →https://doi.org/10.1145/2661829.2661906openalex-snapshot
Query Performance Prediction By Considering Score Magnitude and Variance Together
inferredcites →https://doi.org/10.1145/290941.291008openalex-snapshot
A language modeling approach to information retrieval
inferredcites →https://doi.org/10.1145/2926790openalex-snapshot
Query Performance Prediction Using Reference Lists
inferredcites →https://doi.org/10.1145/2983323.2983750openalex-snapshot
Word Vector Compositionality based Relevance Feedback using Kernel Density Estimation
inferredcites →https://doi.org/10.1145/2983323.2983769openalex-snapshot
A Deep Relevance Matching Model for Ad-hoc Retrieval
inferredcites →https://doi.org/10.1145/2983323.2983844openalex-snapshot
Pseudo-Relevance Feedback Based on Matrix Factorization
inferredcites →https://doi.org/10.1145/3077136.3080665openalex-snapshot
An Enhanced Approach to Query Performance Prediction Using Reference Lists
inferredcites →https://doi.org/10.1145/3077136.3080809openalex-snapshot
End-to-End Neural Ad-hoc Ranking with Kernel Pooling
inferredcites →https://doi.org/10.1145/3077136.3080832openalex-snapshot
Neural Ranking Models with Weak Supervision
inferredcites →https://doi.org/10.1145/3077136.3080839openalex-snapshot
Retrieval Consistency in the Presence of Query Variations
inferredcites →https://doi.org/10.1145/3121050.3121087openalex-snapshot
Robust Standard Deviation Estimation for Query Performance Prediction
inferredcites →https://doi.org/10.1145/3159652.3159659openalex-snapshot
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search
inferredcites →https://doi.org/10.1145/3166072.3166079openalex-snapshot
Tasks, Queries, and Rankers in Pre-Retrieval Performance Prediction
inferredcites →https://doi.org/10.1145/3209978.3210041openalex-snapshot
Neural Query Performance Prediction using Weak Supervision from Multiple Signals
inferredcites →https://doi.org/10.1145/3331184.3331246openalex-snapshot
Context Attentive Document Ranking and Query Suggestion
inferredcites →https://doi.org/10.1145/3331184.3331253openalex-snapshot
Information Needs, Queries, and Query Performance Prediction
inferredcites →https://doi.org/10.1145/3331184.3331334openalex-snapshot
Normalized Query Commitment Revisited
inferredcites →https://doi.org/10.1145/3331184.3331369openalex-snapshot
Query Performance Prediction for Pseudo-Feedback-Based Retrieval
inferredcites →https://doi.org/10.1145/3340531.3412032openalex-snapshot
Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants
inferredcites →https://doi.org/10.1145/3397271.3401070openalex-snapshot
A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval
inferredcites →https://doi.org/10.1145/3397271.3401099openalex-snapshot
A Reinforcement Learning Framework for Relevance Feedback
inferredcites →https://doi.org/10.1145/3397271.3401325openalex-snapshot
An Analysis of BERT in Document Ranking
inferredcites →https://doi.org/10.1145/3459637.3482063openalex-snapshot
BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction
inferredcites →https://doi.org/10.1145/383952.383972openalex-snapshot
Relevance based language models
inferredcites →https://doi.org/10.1145/383952.384019openalex-snapshot
A study of smoothing methods for language models applied to Ad Hoc information retrieval
inferredcites →https://doi.org/10.1145/984321.984322openalex-snapshot
A study of smoothing methods for language models applied to information retrieval
inferredcites →https://doi.org/10.1561/1500000050openalex-snapshot
Information Retrieval with Verbose Queries
inferredcites →https://doi.org/10.4230/lipics.giscience.2025.5openalex-snapshot
Analysis of Points of Interests Recommended for Leisure Walk Descriptions
inferredcites →https://doi.org/10.48550/arxiv.2004.12832openalex-snapshot
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-28244-7_15openalex-snapshot
Query Performance Prediction for Neural IR: Are We There Yet?
inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_27openalex-snapshot
BertPE: A BERT-Based Pre-retrieval Estimator for Query Performance Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-56069-9_51openalex-snapshot
Query Performance Prediction: From Fundamentals to Advanced Techniques
inferred← citeshttps://doi.org/10.1007/978-3-031-88711-6_13openalex-snapshot
Query Performance Prediction Using Dimension Importance Estimators
inferred← citeshttps://doi.org/10.1007/978-3-031-88717-8_9openalex-snapshot
Combining Query Performance Predictors: A Reproducibility Study
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_10openalex-snapshot
Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_4openalex-snapshot
Query Harmfulness Prediction (QHP): A New Challenge for Safer Retrieval Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_43openalex-snapshot
Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction
inferred← citeshttps://doi.org/10.1007/s10994-024-06659-zopenalex-snapshot
Robust query performance prediction for dense retrievers via adaptive disturbance generation
inferred← citeshttps://doi.org/10.1007/s10994-025-06752-xopenalex-snapshot
A contrastive neural disentanglement approach for query performance prediction
inferred← citeshttps://doi.org/10.1145/3539618.3591625openalex-snapshot
A Geometric Framework for Query Performance Prediction in Conversational Search
inferred← citeshttps://doi.org/10.1145/3539618.3591901openalex-snapshot
iQPP: A Benchmark for Image Query Performance Prediction
inferred← citeshttps://doi.org/10.1145/3539618.3592046openalex-snapshot
Query-specific Variable Depth Pooling via Query Performance Prediction
inferred← citeshttps://doi.org/10.1145/3539618.3592082openalex-snapshot
Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences
inferred← citeshttps://doi.org/10.1145/3583780.3615270openalex-snapshot
Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers
inferred← citeshttps://doi.org/10.1145/3626772.3657783openalex-snapshot
Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
inferred← citeshttps://doi.org/10.1145/3626772.3657842openalex-snapshot
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"
inferred← citeshttps://doi.org/10.1145/3726302.3730186openalex-snapshot
Efficient Conversational Search via Topical Locality in Dense Retrieval
inferred← citeshttps://doi.org/10.1145/3726302.3730212openalex-snapshot
In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code
inferred← citeshttps://doi.org/10.1145/3731120.3744611openalex-snapshot
A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis
inferred← citeshttps://doi.org/10.1145/3762197openalex-snapshot
Query Performance Prediction Using Neural Query Space Proximity
inferred← citeshttps://doi.org/10.1145/3765617openalex-snapshot
Projection-Displacement-Based Query Performance Prediction for Embedded Space of Dense Retrievers
inferred← citeshttps://doi.org/10.1145/3779428openalex-snapshot
Learning Context-aware Term Importance for Query Performance Prediction
inferred← citeshttps://doi.org/10.1145/3790102openalex-snapshot
Reversing the Retrieval Engine: Query Performance Prediction as an Inverse Learning Task
inferred← citeshttps://doi.org/10.1145/3793857openalex-snapshot
Angle-QPP: Improving Query Performance Prediction through Large Language Models and Angle Interaction in Complex Vector Space
inferred← citeshttps://doi.org/10.1145/3805713.3820421openalex-snapshot
A Theoretical Framework for Risk Analysis of Stochastic Rankers
inferred← citeshttps://doi.org/10.1145/3827583openalex-snapshot
Introduction to the Special Issue on Query Performance Prediction
inferred← citeshttps://doi.org/10.47065/josh.v4i3.2867openalex-snapshot
Pemrosesan Query dan Pemeringkatan Hasil dalam Information Retrieval: Sebuah Kajian Literatur
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