Final CFP: IP&M Special Topic Issue on Adaptive Information Retrieval

Apologies for cross-postings.

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Call for paper

Special Topic Issue on
Adaptive Information Retrieval

Information Processing & Management

http://www.dcs.gla.ac.uk/workshops/air/ipm_air_cfp.html
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Guest Editors

     * Joemon M. Jose, University of Glasgow, UK.
     * C. J. van Rijsbergen, University of Glasgow, UK.
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Important dates

     * Submissions of articles: September 30, 2007
     * Notification to authors: December 1, 2007
     * Final version of accepted papers: February 15th, 2008
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Introduction

The need for tools to address problems of information overload has  
become apparent. Information seeking is a complex process as often  
searchers do not know what they are looking for. Information  
retrieval tools need to be context sensitive and the retrieval  
process should adapt to users context. Increasingly information is  
sought from collections with multiple media and genres using multiple  
modalities and languages. A number of factors affect the retrieval  
process such as query formulation, matching process and result  
presentation.

Adaptive retrieval, a process in which search process is adapted  
towards the user needs/context has become more and more important.  
Effective retrieval systems should learn and predict what information  
a searcher needs, decide how and when this information should be  
presented. In order to do this, systems should effectively  
distinguish between different search goals and searcher preferences.

Adaptation can happen in many different ways during an information  
seeking process. It can be related to user’s short-term or long-term  
needs. It can be related to the specific context of the user or task  
at hand. This special topic issue of the Journal of Information  
Processing & Management will address adaptive retrieval approaches.
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Submissions

Submissions for the special topic issue should be high-quality  
manuscripts on the theoretical, empirical and methodological issues  
surrounding adaptive information retrieval. Submissions should  
describe original research and not be under consideration in any  
other forum.

All submissions should be formatted according to the Information  
Processing & Management guidelines for papers, references, and  
citations and should be submitted using the Elsevier Editorial System  
for Information Processing and Management. When submitting your  
article please select the appropriate special topic issue as the  
article type.

Submitted articles will be reviewed according to the Information  
Processing & Management reviewing criteria and appropriateness to the  
special topic issue.

We particularly welcome submissions on, but not limited to, the  
following topics:

     * Context sensitive retrieval
     * Personalization systems
     * Adaptive retrieval models
     * Implicit feedback systems
     * Test collection building for interactive evaluation
     * Interactive and adaptive multimedia retrieval
     * Simulated evaluation methodology
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Contact

Please contact Joemon Jose (jj at dcs.gla.ac.uk) for further  
information on the CFP.
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