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April 1, 20260 citationsOpen Access

Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task

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YZYurou ZhaoZNZechun NiuFWFeng Wang

Key Points

  • The aim is to present an overview of the ULTRE task, focusing on unbiased learning to rank methodologies.
  • Introduced the NTCIR-16 task including two subtasks: offline and online ULTR.
  • Outlined the dataset used for the evaluation.
  • Described the simulation method employed.
  • Detailed the evaluation protocols established for the task.
  • Reported official evaluation results based on the received runs of ULTRE.

Abstract

In this paper, we present an overview of the NTCIR-16 Unbiased Learning to Rank (ULTRE) task. The ULTRE task is motivated by the ongoing development of Unbiased Learning to Rank research, consisting of two subtasks: offline ULTR and online ULTR. In the overview, we introduce the dataset , simulation method and evaluation protocols of ULTRE, and report the official evaluation results of the received runs.

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Cite This Study

Zhao et al. (2022) studied this question.

synapsesocial.com/papers/69cd7af55652765b073a882ehttps://doi.org/10.20736/0002002310
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