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10.1145/3379350.3416143acmconferencesArticle/Chapter ViewAbstractPublication PagesuistConference Proceedingsconference-collections
abstract

Newspaper Navigator: Open Faceted Search for 1.5 Million Images

Published: 20 October 2020 Publication History

Abstract

Despite the marked improvements in image classification and recognition tasks over the past decade, affordances and interfaces for searching images have remained largely unchanged on the web. In this demo, we present Newspaper Navigator, an open faceted search system for 1.5 million historic newspaper photographs. In contrast to standard faceted search, which requires facets to be pre-selected and applied to images, Newspaper Navigator empowers users to specify their own facets in an open-domain fashion during the search process by selecting relevant examples and iteratively training a machine learner. With Newspaper Navigator, users can quickly sort 1.5 million images according to dynamically-specified facets such as "baseball player'' and "oval-shaped portrait.'' Newspaper Navigator also drives facet exploration by suggesting related keyword search queries for a user to perform. Our demo walks through examples of searching with Newspaper Navigator and highlights the facet learning and exploration affordances.

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References

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Cited By

View all
  • (2023) The “Collections as ML Data” checklist for machine learning and cultural heritage Journal of the Association for Information Science and Technology10.1002/asi.24765Online publication date: 2-May-2023
  • (2022)Grappling with the scale of born-digital government publications: Toward pipelines for processing and searching millions of PDFsInternational Journal of Digital Humanities10.1007/s42803-022-00042-x3:1-3(91-114)Online publication date: 17-Jan-2022
  • (2021)Comprehensive Review and Future Research Directions on Dynamic Faceted SearchApplied Sciences10.3390/app1117811311:17(8113)Online publication date: 31-Aug-2021
  • Show More Cited By

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Published In

cover image ACM Conferences
UIST '20 Adjunct: Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology
October 2020
203 pages
ISBN:9781450375153
DOI:10.1145/3379350
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 October 2020

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Author Tags

  1. digital humanities
  2. exploratory search
  3. human-ai interaction
  4. interactive machine learning
  5. search user interface

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UIST '20

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Overall Acceptance Rate 355 of 1,733 submissions, 20%

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UIST '25
The 38th Annual ACM Symposium on User Interface Software and Technology
September 28 - October 1, 2025
Busan , Republic of Korea

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Cited By

View all
  • (2023) The “Collections as ML Data” checklist for machine learning and cultural heritage Journal of the Association for Information Science and Technology10.1002/asi.24765Online publication date: 2-May-2023
  • (2022)Grappling with the scale of born-digital government publications: Toward pipelines for processing and searching millions of PDFsInternational Journal of Digital Humanities10.1007/s42803-022-00042-x3:1-3(91-114)Online publication date: 17-Jan-2022
  • (2021)Comprehensive Review and Future Research Directions on Dynamic Faceted SearchApplied Sciences10.3390/app1117811311:17(8113)Online publication date: 31-Aug-2021
  • (2021)A Study of Explainability Features to Scrutinize Faceted Filtering ResultsProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482409(1498-1507)Online publication date: 26-Oct-2021

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