What question did this study set out to answer?

This research investigates how to balance utility and fairness in information retrieval search results.

April 1, 2026Open Access

AMS42 at the NTCIR-18 FairWeb-2 Task

Puntos clave

This research investigates how to balance utility and fairness in information retrieval search results.
Participated in the FairWeb-2 Task at NTCIR-18.
Submitted five different runs to assess search performance.
Focused on document retrieval related to specific queries.
Employed two fairness approaches using sensitive attribute values and semantic understanding.
Document retrieval strategies were developed that balance relevance and fairness.
Challenges in maintaining fairness while achieving a high level of utility were identified during the task.

Resumen

Balancing utility and fairness in the search results is an important and challenging problem for the IR community. The FairWeb-2 Task of NTCIR-18 aims to tackle this using three main search topics: movies, researchers and YouTube videos. This paper presents the approach employed by the AMS42 team as part of the FairWeb-2 Task of NTCIR-18. The AMS42 team submitted 5 runs. First, we focus on retrieving documents which are relevant to the given queries. Next, we employ two fairness approaches. One of which makes use of estimated sensitive attribute values to balance relevance and fairness in the retrieved results, and another which relies on the model's semantic understanding of sensitive attribute values derived from the document content. Finally, we discuss the challenges identified while working on the FairWeb-2 Task.

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