Article

Slicing and dicing the information space using local contexts

Authors:

Joemon M. JoseAuthors Info & Claims

IIiX: Proceedings of the 1st international conference on Information interaction in context

Pages 66 - 74

https://doi.org/10.1145/1164820.1164836

Published: 18 October 2006 Publication History

Abstract

In recent years there has been growing interest in faceted grouping of documents for Interactive Information Retrieval (IIR). It is suggested that faceted grouping can offer a flexible way of browsing a collection compared to clustering. However, the success of faceted grouping seems to rely on sufficient knowledge of collection structure. In this paper we propose an approach based on the local contexts of query terms, which is inspired by the interaction of faceted search and browsing. The use of local contexts is appealing since it requires less knowledge of the collection than existing approaches. A task-based user study was carried out to investigate the effectiveness of our interface in varied complexity. The results suggest that the local contexts can be exploited as the source of search result browsing in IIR, and that our interface appears to facilitate different aspects of search process over the task complexity. The implication of the evaluation methodology using high complexity tasks is also discussed.

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Cited By

Borlund P(2016)A study of the use of simulated work task situations in interactive information retrieval evaluationsJournal of Documentation10.1108/JD-06-2015-006872:3(394-413)Online publication date: 9-May-2016
https://doi.org/10.1108/JD-06-2015-0068
Wildemuth BFreund LG. Toms E(2014)Untangling search task complexity and difficulty in the context of interactive information retrieval studiesJournal of Documentation10.1108/JD-03-2014-005670:6(1118-1140)Online publication date: 7-Oct-2014
https://doi.org/10.1108/JD-03-2014-0056
Joho HSakai T(2012)Grid-Based Interaction for Exploratory SearchInformation Retrieval Technology10.1007/978-3-642-35341-3_45(496-505)Online publication date: 2012
https://doi.org/10.1007/978-3-642-35341-3_45
Show More Cited By

Index Terms

Slicing and dicing the information space using local contexts
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Other conferences

IIiX: Proceedings of the 1st international conference on Information interaction in context

October 2006

187 pages

ISBN:1595934820

DOI:10.1145/1164820

Program Chair:
Ian Ruthven
University of Strathclyde, UK

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 October 2006

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Cited By

Borlund P(2016)A study of the use of simulated work task situations in interactive information retrieval evaluationsJournal of Documentation10.1108/JD-06-2015-006872:3(394-413)Online publication date: 9-May-2016
https://doi.org/10.1108/JD-06-2015-0068
Wildemuth BFreund LG. Toms E(2014)Untangling search task complexity and difficulty in the context of interactive information retrieval studiesJournal of Documentation10.1108/JD-03-2014-005670:6(1118-1140)Online publication date: 7-Oct-2014
https://doi.org/10.1108/JD-03-2014-0056
Joho HSakai T(2012)Grid-Based Interaction for Exploratory SearchInformation Retrieval Technology10.1007/978-3-642-35341-3_45(496-505)Online publication date: 2012
https://doi.org/10.1007/978-3-642-35341-3_45
Fujikawa KJoho HNakayama S(2012)Constraint Can Affect Human Perception, Behaviour, and Performance of SearchThe Outreach of Digital Libraries: A Globalized Resource Network10.1007/978-3-642-34752-8_5(39-48)Online publication date: 2012
https://doi.org/10.1007/978-3-642-34752-8_5
Borlund PSchneider JBelkin NKelly D(2010)Reconsideration of the simulated work task situationProceedings of the third symposium on Information interaction in context10.1145/1840784.1840808(155-164)Online publication date: 18-Aug-2010
https://dl.acm.org/doi/10.1145/1840784.1840808
Boydell OSmyth B(2010)Social summarization in collaborative web searchInformation Processing and Management: an International Journal10.1016/j.ipm.2009.10.01146:6(782-798)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1016/j.ipm.2009.10.011
Hoare CSorensen H(2010)The Enhanced Ranked ListArtificial Intelligence and Cognitive Science10.1007/978-3-642-17080-5_18(154-163)Online publication date: 2010
https://doi.org/10.1007/978-3-642-17080-5_18
Tang MWu WHung B(2010)Evaluating a metadata‐based term suggestion interface for PubMed with real users with real requestsProceedings of the American Society for Information Science and Technology10.1002/meet.2009.145046023846:1(1-18)Online publication date: 18-Nov-2010
https://doi.org/10.1002/meet.2009.1450460238
Hoare CSorensen H(2009)The enhanced ranked listProceedings of the 20th Irish conference on Artificial intelligence and cognitive science10.5555/1939047.1939067(154-163)Online publication date: 19-Aug-2009
https://dl.acm.org/doi/10.5555/1939047.1939067
Masegosa AJoho HJose J(2007)Evaluating query-independent object features for relevancy predictionProceedings of the 29th European conference on IR research10.5555/1763653.1763688(283-294)Online publication date: 2-Apr-2007
https://dl.acm.org/doi/10.5555/1763653.1763688
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