Harvey, M., Hauff, C. and Elsweiler, D. (2015) Learning by example : training users with high-quality query suggestions. In: SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '15), 09-13 Aug 2015, Santiago, Chile. ACM Digital Library , pp. 133-142. ISBN 9781450336215
Abstract
The queries submitted by users to search engines often poorly describe their information needs and represent a potential bottleneck in the system. In this paper we investigate to what extent it is possible to aid users in learning how to formulate better queries by providing examples of high-quality queries interactively during a number of search sessions. By means of several controlled user studies we collect quantitative and qualitative evidence that shows: (1) study participants are able to identify and abstract qualities of queries that make them highly effective, (2) after seeing high-quality example queries participants are able to themselves create queries that are highly effective, and, (3) those queries look similar to expert queries as defined in the literature. We conclude by discussing what the findings mean in the context of the design of interactive search systems.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 ACM. This is an author-produced version of a paper subsequently published in SIGIR '15: Proceedings. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Search expertise; Reflection; Behavioural Change, User Study |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Feb 2020 11:25 |
Last Modified: | 28 Feb 2020 08:23 |
Status: | Published |
Publisher: | ACM Digital Library |
Refereed: | Yes |
Identification Number: | 10.1145/2766462.2767731 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157709 |