The scope of the workshop is intentionally broad and addresses all aspects of understanding, modeling, computational handling, and application of preferences. In particular, we welcome original contributions to these areas and contributions that provide cross-fertilization between these fields.
Interactive preference elicitation
Preference elicitation in multi-agent systems
Preference elicitation with incentive-compatibility
Learning of preferences Preference mining
Revision of preferences
Measures of preference accuracy
Linear and non-linear utility representations
Multiple criteria/attributes
Qualitative decision theory
Graphical models Logical representations
Soft constraints
Relations between qualitative and quantitative approaches
Preference composition, merging, and aggregation
Incomplete or inconsistent preferences
Intransitive indifference
Reasoning about preferences Preference and choice
Decision making (sorting, ranking, choice)
Problem solving (search, optimization, explanation)
Data-base querying and repair
AI planning, action and causality
Non-monotonic reasoning, logic programming, belief revision
Web search
Human-computer interaction
Personalization
Recommendation systems and other e-commerce applications
Preference management and repositories