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Analysis and evaluation of query reformulations in different task types

  • Published:2010-11 Issue:1 Volume:47 Page:1-9
  • ISSN:0044-7870
  • Container-title:Proceedings of the American Society for Information Science and Technology
  • language:en
  • Short-container-title:Proc. Am. Soc. Info. Sci. Tech.

Author:

Liu Chang,Gwizdka Jacek,Liu Jingjing,Xu Tao,Belkin Nicholas J.

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems

Reference16 articles.

1. The IIR evaluation model: a framework for evaluation of interactive information retrieval systems;Borlund;Information Research,2003

2. Moves in online searching;Fidel;Online Review,1985

3. Combining evidence for automatic web session identification;He;Information Processing & Management,2002

4. The effects of expertise and feedback on search term selection and subsequent learning: Research Articles;Hembrooke;Journal of the American Society for Information Science and Technology,2005

5. Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers;Hsieh-Yee;Journal of the American Society for Information Science,1993

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1. On the Effects of Automatically Generated Adjunct Questions for Search as Learning;Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval;2024-03-10

2. Finding the Aha! Moment of Search: A Preliminary Examination of Insight Learning During Search;Proceedings of the Association for Information Science and Technology;2023-10

3. Different Principles of Information Design for Three Online Financial Tasks: Localization, Comparison, and Subtraction;International Journal of Human–Computer Interaction;2023-02-14

4. The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning;Frontiers in Psychology;2022-03-15

5. Children’s query formulation and search result exploration;International Journal on Digital Libraries;2021-11-30
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