Query Performance Prediction Using a Child-Focused Definition of Relevance

Conference Paper (2026)
Author(s)

Hrishita Chakrabarti (TU Delft - Web Information Systems)

Maria Soledad Pera (TU Delft - Web Information Systems)

DOI related publication
https://doi.org/10.1007/978-3-032-21300-6_29 Final published version
More Info
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Publication Year
2026
Language
English
Pages (from-to)
388-399
Publisher
Springer Nature
ISBN (print)
9783032212993
Event
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Abstract

Query performance prediction (QPP) methods have primarily been tailored to mainstream users, thus relying on the traditional concept of relevance. In the case of children, however, relevance goes beyond content-based resource-query matching, which is why we gauge the performance of existing QPP methods in estimating the fit of resources retrieved in response to child-formulated queries. Outcomes from our empirical exploration of various QPP methods using a traditional and a child-focused definition of relevance on 2 datasets reveal the limitations in the adaptability of existing methods to the context of child information retrieval.

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