Analyzing users' retrieval behaviours and image queries of a photojournalism image database

Hsin Liang Chen, Thomas Kochtanek, Christopher Sean Burns, Rick Shaw

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper describes research undertaken to understand end user needs within the scope of a large, online, historically centred photojournalism image database. The framework used included an examination of browsing vs. searching habits, of Dublin Core metadata elements used when conducting advanced searches, and of trends in types of search terms. Results suggest few visitors tothe site use the site's search functionality and very few use advanced search. An analysis of search term characteristics, built on the work of Jörgensen (1998), suggests a new way to approach social tagging in a future implementation of the photojournalism image database.

Original languageEnglish
Pages (from-to)249-270
Number of pages22
JournalCanadian Journal of Information and Library Science
Volume34
Issue number3
StatePublished - Sep 2010

Keywords

  • Image queries
  • Image retrieval
  • Photojournalism
  • User studies
  • Web log analysis

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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