Query Performance Prediction: Theory, Techniques and Applications

Query performance prediction (QPP) is a key task in information retrieval (IR), focusing on estimating the retrieval quality of a given query without relying on human-labeled relevance judgments. Over the decades, QPP has gained increasing significance, with a surge in research activity in recent years. It has proven to benefit various aspects of retrieval, such as optimizing retrieval effectiveness by selecting the most appropriate ranking function for each query.

Authors

Institutions

Publication Details

Published
2025-02-26
DOI
https://doi.org/10.1145/3701551.3703480
Citations
3
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
4.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Query Performance Prediction: Theory, Techniques and Applications

Negar Arabzadeh, Mohammad Aliannejadi, Ebrahim Bagheri, Chuan Meng
3 citations
Data Management and Algorithms
4.46
article

Query Performance Prediction: Theory, Techniques and Applications

Negar Arabzadeh, Mohammad Aliannejadi, Ebrahim Bagheri, Chuan Meng
article en
3 citations

Abstract

Query performance prediction (QPP) is a key task in information retrieval (IR), focusing on estimating the retrieval quality of a given query without relying on human-labeled relevance judgments. Over the decades, QPP has gained increasing significance, with a surge in research activity in recent years. It has proven to benefit various aspects of retrieval, such as optimizing retrieval effectiveness by selecting the most appropriate ranking function for each query.

University of Waterloo (CA), Toronto Metropolitan University (CA), University of Amsterdam (NL)
Openalex Percentile: Top 7%
Data Management and Algorithms
4.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.