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Presentation Ordering Effects On Assessor Agreement

conference contribution
posted on 2024-11-03, 12:13 authored by Tadele Tedla Damessie, Shane CulpepperShane Culpepper, Jaewon Kim, Falk ScholerFalk Scholer
Consistency of relevance judgments is a vital issue for the construction of test collections in information retrieval. As human relevance assessments are costly, and large collections can contain many documents of varying relevance, collecting reliable judgments is a critical component to building reusable test collections. We explore the impact of document presentation order on human relevance assessments. Our primary goal is to determine if assessor disagreement can be minimized through the order in which documents are presented to assessors. To achieve this goal, we compare two commonly used presentation orderings with a new ordering designed to aid assessors to more easily discriminate between relevant and non-relevant documents. By carefully controlling the presentation ordering, assessors can more quickly converge on a consistent notion of relevance during the assessment exercise, leading to higher overall judging agreement. In addition, important interactions between presentation ordering and topic difficulty on assessor agreement are highlighted. Our findings suggest that document presentation order does indeed have a substantial impact on assessor agreement, and that our new ordering is more robust than previous approaches across a variety of different topic types.

Funding

Trajectory data processing: Spatial computing meets information retrieval

Australian Research Council

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Continuous and summarised search over evolving heterogeneous data

Australian Research Council

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Finding answers for complex questions

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1145/3269206.3271750
  2. 2.
    ISBN - Is published in 9781450360142 (urn:isbn:9781450360142)

Start page

723

End page

732

Total pages

10

Outlet

Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018)

Editors

Alfredo Cuzzocrea,James Allan, Norman Paton, Divesh Srivastava, Rakesh Agrawal, Andrei Broder, Mohammed Zaki, Selcuk Candan, Alexandros Labrinidis, Assaf Schuster and Haixun Wang

Name of conference

CIKM 2018

Publisher

Association for Computing Machinery

Place published

New York, United States

Start date

2018-10-22

End date

2018-10-26

Language

English

Copyright

© 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM

Former Identifier

2006088432

Esploro creation date

2020-06-22

Fedora creation date

2019-02-21

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