Conference paper (in proceedings)

It is relevant, but is it useful?

  • 2026
Published in:
  • ACM Conference on User Modeling, Adaptation and Personalization (UMAP '26). - 2026, p. 392-397
English 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.
Collections
Language
  • English
Classification
Computer science and technology
Notes
  • UMAP '26: 34th ACM Conference on User Modeling, Adaptation and Personalization
  • Gothenburg , Sweden
  • June 2026
License
CC BY
Open access status
gold
Identifiers
Persistent URL
https://n2t.net/ark:/12658/srd1335782
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