7 citations · 7 across the 4 of their papers we have counts for
5 papers · 1 filter
Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing
Adrian-Gabriel Chifu, Sébastien Déjean, Josiane Mothe +3
Query Performance Prediction (QPP) estimates retrieval systems effectiveness for a given query, offering valuable insights for search effectiveness and query processing. Despite ex…
Can we predict QPP? An approach based on multivariate outliers
Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani +3
Query performance prediction (QPP) aims to forecast the effectiveness of a search engine across a range of queries and documents. While state-of-the-art predictors offer a certain…
Selective Query Processing: a Risk-Sensitive Selection of System Configurations
Josiane Mothe, Md Zia Ullah
In information retrieval systems, search parameters are optimized to ensure high effectiveness based on a set of past searches and these optimized parameters are then used as the s…
Effectiveness and Efficiency Trade-off in Selective Query Processing
Josiane Mothe, Md Zia Ullah
Query processing in search engines can be optimized for use for all queries. For this, system component parameters such as the weighting function or the automatic query expansion m…
Forward and Backward Feature Selection for Query Performance Prediction
Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe +1
The goal of query performance prediction (QPP) is to automatically estimate the effectiveness of a search result for any given query, without relevance judgements. Post-retrieval f…