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Interactive information seeking via selective application of contextual knowledge

Published: 18 August 2010 Publication History

Abstract

Exploratory search is a difficult activity that requires iterative interaction. This iterative process helps the searcher to understand and to refine the information need. It also generates a rich set of data that can be used effectively to reflect on what has been found (and found useful). While traditional information retrieval systems have focused on organizing the data that was retrieved, in this paper, we describe a systematic approach to organizing the metadata generated during the search process. We describe a framework for unifying transitions among various stages of exploratory search, and show how context from one stage can be applied to the next. The framework can be used both to describe existing information-seeking interactions, and as a means of generating novel ones. We illustrate the framework with examples from a session-based exploratory search system prototype.

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  • (2013)Trailblazing informationProceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction design - Volume Part I10.1007/978-3-642-39209-2_27(230-239)Online publication date: 21-Jul-2013
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  • (2012)The future is in the pastProceedings of the 4th Information Interaction in Context Symposium10.1145/2362724.2362738(52-61)Online publication date: 21-Aug-2012
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    cover image ACM Other conferences
    IIiX '10: Proceedings of the third symposium on Information interaction in context
    August 2010
    408 pages
    ISBN:9781450302470
    DOI:10.1145/1840784
    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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    Publication History

    Published: 18 August 2010

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    Author Tags

    1. hcir
    2. information seeking
    3. session-based search

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    IIiX 2010
    IIiX 2010: Information Interaction in Context Symposium
    August 18 - 21, 2010
    New Jersey, New Brunswick, USA

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    View all
    • (2013)Trailblazing informationProceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction design - Volume Part I10.1007/978-3-642-39209-2_27(230-239)Online publication date: 21-Jul-2013
    • (2013)Evaluating rater quality and rating difficulty in online annotation activitiesProceedings of the American Society for Information Science and Technology10.1002/meet.1450490116649:1(1-10)Online publication date: 24-Jan-2013
    • (2012)The future is in the pastProceedings of the 4th Information Interaction in Context Symposium10.1145/2362724.2362738(52-61)Online publication date: 21-Aug-2012
    • (2012)A subjunctive exploratory search interface to support media studies researchersProceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval10.1145/2348283.2348342(425-434)Online publication date: 12-Aug-2012
    • (2012)Designing a tool for exploratory information seekingCHI '12 Extended Abstracts on Human Factors in Computing Systems10.1145/2212776.2223712(1799-1804)Online publication date: 5-May-2012
    • (2012)QueriumProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_72(583-584)Online publication date: 1-Apr-2012
    • (2011)Applying web usage mining for adaptive intranet navigationProceedings of the Second international conference on Multidisciplinary information retrieval facility10.5555/2018142.2018156(118-133)Online publication date: 6-Jun-2011
    • (2011)Applying Web Usage Mining for Adaptive Intranet NavigationMultidisciplinary Information Retrieval10.1007/978-3-642-21353-3_10(118-133)Online publication date: 2011

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