-------- Original-Nachricht -------- 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]

------------------------------------------------------------------------- 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/) ------------------------------------------------------------------------- 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

-------------------------------------------------------------------------

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.

------------------------------------------------------------------------- If you wish to be removed from this mailing list, please reply with "REMOVE" in the subject line.

--------------------------------------------------------------------- To unsubscribe, e-mail: computational.science-unsubscribe@lists.iccsa.org For additional commands, e-mail: computational.science-help@lists.iccsa.org