Neural query performance prediction using weak supervision from multiple signals
Predicting the performance of a search engine for a given query is a fundamental and
challenging task in information retrieval. Accurate performance predictors can be used in …
challenging task in information retrieval. Accurate performance predictors can be used in …
BERT-QPP: contextualized pre-trained transformers for query performance prediction
Query Performance Prediction (QPP) is focused on estimating the difficulty of satisfying a
user query for a certain retrieval method. While most state of the art QPP methods are based …
user query for a certain retrieval method. While most state of the art QPP methods are based …
Analytics methods to understand information retrieval effectiveness—a survey
J Mothe - Mathematics, 2022 - mdpi.com
Information retrieval aims to retrieve the documents that answer users' queries. A typical
search process consists of different phases for which a variety of components have been …
search process consists of different phases for which a variety of components have been …
Query variation performance prediction for systematic reviews
When conducting systematic reviews, medical researchers heavily deliberate over the final
query to pose to the information retrieval system. Given the possible query variations that …
query to pose to the information retrieval system. Given the possible query variations that …
Noisy perturbations for estimating query difficulty in dense retrievers
Estimating query difficulty, also known as Query Performance Prediction (QPP), is
concerned with assessing the retrieval quality of a ranking method for an input query. Most …
concerned with assessing the retrieval quality of a ranking method for an input query. Most …
Topic difficulty: Collection and query formulation effects
Several recent studies have explored the interaction effects between topics, systems,
corpora, and components when measuring retrieval effectiveness. However, all of these …
corpora, and components when measuring retrieval effectiveness. However, all of these …
Information needs, queries, and query performance prediction
The query performance prediction (QPP) task is to estimate the effectiveness of a search
performed in response to a query with no relevance judgments. Existing QPP methods do …
performed in response to a query with no relevance judgments. Existing QPP methods do …
Query reformulation in E-commerce search
The importance of e-commerce platforms has driven forward a growing body of research
work on e-commerce search. We present the first large-scale and in-depth study of query …
work on e-commerce search. We present the first large-scale and in-depth study of query …
Estimating Gaussian mixture models in the local neighbourhood of embedded word vectors for query performance prediction
The study of query performance prediction (QPP) in information retrieval (IR) aims to predict
retrieval effectiveness. The specificity of the underlying information need of a query often …
retrieval effectiveness. The specificity of the underlying information need of a query often …
A semantic approach to post-retrieval query performance prediction
P Jafarzadeh, F Ensan - Information Processing & Management, 2022 - Elsevier
The importance of query performance prediction has been widely acknowledged in the
literature, especially for query expansion, refinement, and interpolating different retrieval …
literature, especially for query expansion, refinement, and interpolating different retrieval …