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                     C A L L  F O R  P A P E R S
                     Preference Learning (PL-10)

             Joint Tutorial & Workshop at ECML/PKDD 2010
             ===========================================

http://www.ke.tu-darmstadt.de/events/PL-10/

This joint tutorial/workshop is a follow-up activity of two previous
ECML/PKDD workshops (PL-08, PL-09). It will be held in Barcelona on
September 24th, the last day of ECML/PKDD 2010, right before ACM
Recommender Systems 2010, as a one-day session with a tutorial part in
the morning, and paper presentations in the afternoon.

The event aims at providing a forum for the discussion of recent
advances in the use of machine learning and data mining methods for
problems related to the learning and discovery of preferences, and to
offer an opportunity for researchers and practitioners to identify new
promising research directions.


PROGRAM

An outline of the tutorial can be found at the Web-site. For the
workshop, we are soliciting contributions in the following and related
areas:

* quantitative and qualitative approaches to modeling 
   preferences as well as different forms of feedback and training data;
* learning utility functions and related regression problems;
* preference mining and preference elicitation;
* learning relational preference models;
* embedding of other types of learning problems in the preference 
   learning framework (such as label ranking, ordinal classification, 
   or hierarchical classification);
* comparison of different preference learning paradigms (e.g., "big bang" 
   approaches that use a single model vs. modular approaches that decompose 
   the learning of preference models into subproblems);
* ranking problems, such as learning to rank objects or to aggregate rankings;
* scalability and efficiency of preference learning algorithms;
* methods for special application fields, such as web search, information
   retrieval, electronic commerce, games, personalization, or recommender 
   systems;
* connections to other research fields, such as decision theory, operations
   research, and social choice theory.

In addition to papers reporting on mature research results we also
encourage submissions presenting more preliminary results and
discussing open problems. Correspondingly, two types of contributions
will be solicited, namely short communications (short talks) and full
papers (long talks).


SUBMISSION INSTRUCTIONS

Papers must be formatted in Springer LNCS style and submitted in PDF
to one of the organizers. There is no strict page limitation, though
10-15 pages for full papers and 6-8 pages for short communications
should be taken as rough guidelines. Authors' instructions along with
LaTeX and Word macro files are available on the web at:
http://www.springer.de/comp/lncs/authors.html

Please send submissions to <[email protected]>.


IMPORTANT DATES

JUN 21     Deadline for workshop paper submission


WORKSHOP CHAIRS and TUTORIAL PRESENTERS

Eyke Huellermeier
Department of Mathematics and Computer Science
University of Marburg, Germany
[email protected]

Johannes Fuernkranz
Department of Computer Science
Technical University of Darmstadt, Germany
[email protected]

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