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Betreff: [computational.science] CFP: ISDA2010 - WORKSHOP ON COMPUTATIONAL INTELLIGENCE FOR PERSONALIZATION IN WEB CONTENT AND SERVICE DELIVERY
Datum: Sat, 26 Jun 2010 16:08:37 +0200
Von: mario.cimino@ing.unipi.it <mario.cimino@ing.unipi.it>
Organisation: "ICCSA"
An: Computational Science Mailing List <computational.science@lists.iccsa.org>


  [Apologies for possible multiple copies]
  
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       2nd WORKSHOP ON COMPUTATIONAL INTELLIGENCE FOR PERSONALIZATION
                IN WEB CONTENT AND SERVICE DELIVERY (CIWP'10)

   Organizers: G. Castellano, M.G.C.A. Cimino, F. Marcelloni, M.A. Torsello
              (Workshop page: http://cig.iet.unipi.it/ciwp10/)
  
        at ISDA 2010 Conference, Nov 29 - Dec 1, 2010, Cairo, EGYPT
          (Conference web page: http://cig.iet.unipi.it/isda2010/)      
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  Technically sponsored by:
  Sponsor :
    - Machine Intelligence Research Labs
  
  Technical Sponsors:
    - Egypt IEEE Computational Intelligence Chapter
    - IEEE Systems, Man and Cybernetics Society (IEEE - SMC)
    - International Fuzzy Systems Association (IFSA) 
      (pending approval)
    - European Society for Fuzzy Logic and Technology (EUSFLAT) 
      (pending approval)
    - The World Federation on Soft Computing (WFSC)
      (pending approval)
  
  Technically Supported by:
    - IEEE Systems, Man and Cybernetics Society, 
      Technical Committee on Soft Computing
    - IEEE Systems, Man and Cybernetics Society, 
      Technical Committee on Granular Computing
  
  Proceedings published by IEEE and indexed in IEEE Xplore
 
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  SCOPE OF THE WORKSHOP 
  Today, the explosion of multimedia content and available services prompts
  the need for more effective Web systems, that allow users to retrieve the
  right information  and/or  service at  the right  time in  the right way.
  Personalized  retrieval  is  a  promising research  direction  devoted to
  enhance information retrieval and  service  customization  by  exploiting
  explicit user  requests combined  with  implicit  user  preferences. User
  preferences are complex, heterogeneous, changing, and even contradictory.
  Moreover, information retrieval process is characterized by  vagueness of
  queries and approximation in the comparison between the query content and
  the information in the database. Computational Intelligence (CI) provides
  valid tools to cope with the complexity in the mechanisms underlying  Web
  content  and  service   delivery  personalization.  Indeed,  CI  encloses
  different computing paradigms that work  synergistically  to exploit  the
  tolerance  for  imprecision,  uncertainty,   approximate  reasoning,  and
  partial  truth  in  order  to provide  flexible  information   processing
  capabilities  and  low-cost   solutions. Due  to  these  characteristics,
  CI  techniques are suitable to  deal  with the imprecision and  vagueness
  inherent  a  personalized  information  retrieval  system. Recently, many
  researchers have  addressed their interest towards the benefits of CI for
  personalization in  Web information retrieval  systems. This represents a
  promising  direction to improve  the effectiveness of such systems and to
  make them adaptive and more flexible.

  TOPICS
  We invite prospective authors to submit papers that propose the use of CI
  techniques to advance the technology in the field of Web personalization,
  with  special  focus  on  information retrieval  and   service  delivery.
  Original contributions are solicited in the following topics (but are not
  limited to):

  * User behaviour modelling
  * Context-Aware Browsing
  * Automated techniques for user profiling
  * Web mining for personalization
  * Data models for Web usage, content and structure data
  * Collaborative and content based filtering
  * Clustering in personalization systems
  * Hybrid personalization systems
  * Adaptive user interfaces and personalization techniques
  * Personalized search
  * Context-aware Search
  * Service delivery personalization
  * Intelligent Context-Aware Services Delivery
  * Explanation and justification in personalization systems
  * Modelling decision making in personalization systems
  * Measuring personalization effectiveness 

  INSTRUCTIONS FOR AUTHORS
  Papers  must  correspond  to  the  requirements detailed  in  the  (Paper
  Submission) on the conference flyer:
  http://cig.iet.unipi.it/isda2010/flyer.pdf
  All papers should  be  submitted  electronically  via  the  Online  Paper 
  Submission System, which is located at
  http://cig.iet.unipi.it/isda2010/index.php/submission.html
  All papers must be presented by one of the  authors,  who  must  pay  the
  registration fees.

  PAPER REVIEWING AND PUBLICATION
  All accepted papers will be  published  by  the  IEEE  Computer  Society,
  included  in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital
  libraries and arranged for  indexing  through IEE INSPEC, EI (Compendex),
  Thomson ISI, and other indexing services.
  Submitted papers will be  reviewed.  Accepted  papers,  which  should not
  exceed 6 pages  (PDF)  following  the  double  column  IEEE  format.  All
  accepted papers will be published in  the  proceedings  of  the  ISDA'10.
  Selected papers will be published in special issues  of  a  selection  of
  International Journals (to be announced).
  
  TENTATIVE DATES OF SUBMISSION AND ACCEPTANCE
  * July 17, 2010: deadline for paper submission.
  * September 1, 2010: notification of acceptance.
  * September 20, 2010: camera-ready manuscript submission.
  * September 20, 2010: registration deadline.
 
  CONTACT DETAILS
  Name of Chairs:
    Giovanna Castellano, Mario Giovanni C.A. Cimino,
    Francesco Marcelloni, Maria Alessandra Torsello.
  Address:
    - Department of Computer Science,
      University of Bari, v. E. Orabona, 4, 70126, Bari (Italy).
    - Department of Information Engineering: Electronics, Informatics, 
      Telecommunications,
      University of Pisa, Largo Lucio Lazzarino, 1, 56122 Pisa (Italy). 
  Phone:
    +39 080 544 2456, +39 050 221 7678.
  Email:
    castellano@di.uniba.it, m.cimino@iet.unipi.it,
    f.marcelloni@iet.unipi.it, torsello@di.uniba.it. 
    
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