Final Call for Papers: IP&M special topic issue on Evaluating Exploratory Search Systems
Gheorghe Muresan <[email protected]>
| Newsgroups | gmane.comp.information-retrieval.webir |
|---|---|
| Organization | Rutgers University |
| Message-ID | <[email protected]> |
*INFORMATION PROCESSING & MANAGEMENT:*
*An International Journal*
Special Topic Issue on
*Evaluating Exploratory Search Systems*
* *
*Call for Papers*
Guest Editors
Dr. Gheorghe Muresan, Rutgers University
Dr. Ryen W. White, Microsoft Research
Dr. Gary Marchionini, University of North Carolina
Important dates
Submission of articles: Fri, 22nd December 2006
Notification to authors: Fri, 2nd March 2007
Final version of accepted papers: Fri, 25th May 2007
Publication date: most likely before the end of 2007
Overview
Online search has become an increasingly important part of the everyday
lives of most computer users. Search engines, bibliographic databases,
and digital libraries provide adequate support for those whose
information needs are well-defined. However, there are research and
development opportunities to improve current search systems to help
users succeed more often in situations when: they lack the knowledge or
contextual awareness to formulate queries, they must navigate complex
information spaces, the search task requires browsing and exploration,
or system indexing of available information is inadequate.
In those situations, people usually submit a tentative query and start
exploring the information space, selectively seeking and passively
obtaining cues about where their next steps lie, i.e., they are engaged
in an "exploratory search." Exploratory search is a type of
information-seeking that in some respects can be seen as a
specialization of information exploration – a broader class of
activities where new information is sought in a defined conceptual area;
exploratory data analysis is another example of an information
exploration activity. Exploratory Search Systems (ESS) have been
developed to support serendipity, learning, and investigation, and
generally allow users to browse available information.
Whilst search systems are expanding beyond supporting simple lookup into
supporting complex information-seeking behaviors, there are no
recognized methodologies for how to evaluate this new genre of search
system. This special topic issue will solicit submissions from
researchers in communities such as information retrieval, library and
information sciences, and human-computer interaction for a discussion of
the issues related to the formative and summative evaluation of ESS. The
exploratory search focus in recent years has been on the development of
new systems and interfaces, not on how to evaluate them. Given the range
of technologies available, it is now time to shift the focus of research
toward understanding the behaviors and preferences of searchers engaged
in exploratory searching, on tasks supported by such systems, and on
measuring exploration success.
The special topic issue solicits high-quality manuscripts that focus on
the theoretical, empirical and methodological issues surrounding the
evaluation of systems to support exploratory search activities. We
encourage submissions based on, but not limited to, the following topics:
* learning
* system log analysis
* task-oriented evaluation
* ethnography and field studies
* user performance and behaviors
* searcher simulations
* biometric data as evidence
* role of context
* metrics for ESS evaluation
* ESS evaluation frameworks
* mental models for exploratory search processes
* test collections
* novel exploratory search interfaces and interaction paradigms
Papers should be submitted to the online site for IP & M
(http://ees.elsevier.com/ipm), with the submission box checked off that
it is for the special issue on Evaluation of Exploratory Search Systems.
Instructions on formatting can also be found at the above site.
All questions regarding submissions should be directed to the special
topic issue Guest Editors at [email protected]
<mailto:[email protected]>.
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