{Spam?(6)} Fw: [computational.science] 2nd CFP: Workshop on Preference Learning at ECML/PKDD-08

> ========================================
> C A L L F O R P A P E R S
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> W O R K S H O P O N
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> P R E F E R E N C E L E A R N I N G
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> http://www.mathematik.uni-marburg.de/~kebi/ws-ecml-08/
>
> taking place on September 19, 2008, as part of
>
> ECML/PKDD-08, European Conference on Machine Learning and Principles
> and Practice of Knowledge Discovery in Databases
>
> September 15-19, 2008, Antwerp (Belgium)
>
> http://www.ecmlpkdd2008.org/
>
> Methods for learning preference models and predicting preferences are
> among the very recent research trends in fields like machine learning
> and knowledge discovery. Approaches relevant to this area range from
> learning special types of preference models, such as lexicographic
> orders, over collaborative filtering techniques for recommender systems
> and ranking techniques for information retrieval, to generalizations of
> classification problems such as label ranking. Like other types of
> complex learning tasks that have recently entered the stage, preference
> learning deviates strongly from the standard problems of classification
> and regression. It is particularly challenging as it involves the
> prediction of complex structures, such as weak or partial order
> relations, rather than single values. Moreover, training input will not,
> as it is usually the case, be offered in the form of complete examples
> but may comprise more general types of information, such as relative
> preferences or different kinds of indirect feedback and implicit
> preference information.
>
> This workshop 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. Topics of interest include, but are not
> limited to
>
> # 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
>
>
> ========================================
> IMPORTANT DATES
> ========================================
> JUN 23 Deadline for workshop paper submission
> JUL 31 Notification of acceptance for workshop papers
> AUG 18 Final camera ready copies due
>
>
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> WORKSHOP CHAIRS
> ========================================
> Eyke Huellermeier
> Department of Mathematics and Computer Science
> University of Marburg, Germany
> eyke@mathematik.uni-marburg.de
>
> Johannes Fuernkranz
> Department of Computer Science
> Technical University of Darmstadt, Germany
> juffi@ke.informatik.tu-darmstadt.de
>
>
> ========================================
> WORKSHOP-WEBSITE
> ========================================
> For further information, please visit the workshop website at
> http://www.mathematik.uni-marburg.de/~kebi/ws-ecml-08/
> or contact one of the workshop co-chairs.
>
> Eyke Huellermeier and Johannes Fuernkranz
> Workshop Chairs
>
Received on Fri May 30 06:38:51 2008