It is relevant, but is it useful?

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Authors: Hrishita Chakrabarti, Diletta Micol Tobia, Garrett Allen, Monica Landoni, Maria Soledad Pera
Cited by: 1
References: 46

Abstract

The traditional Information Retrieval (IR) evaluation framework—anchored in topical relevance and relevance‑based metrics—reflects a system-centred perspective. Yet for specific user groups, relevance alone is insufficient; benchmarking that relies exclusively on conventional metrics overlooks qualities intrinsic to the users IR approaches are meant to serve. Here, we draw attention to Children IR and examine the value of extending traditional evaluation with a human-centred perspective that accounts for how children interpret and evaluate information to more authentically capture performance and better reflect how well an approach truly meets children’s needs. Our empirical exploration using a child‑focused dataset, multiple ranking strategies, and traditional and extended frameworks reveals not only the limitations of relevance-based assessments but also the advantages of employing frameworks that are tailored to reflect the needs of child users, paving the way for more inclusive and effective evaluation frameworks.

Fields of Study & Subjects

Information Retrieval and Search Behavior Educational Strategies and Epistemologies Health Literacy and Information Accessibility

Publication details

Journal / source
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization
Publisher
ACM
Pages
392–397
Publication date
1 June 2026