Logo of the M-PREF 2024 workshop on preference handling

15th Multidisciplinary Workshop on Advances in Preference Handling

M-PREF 2024

Santiago de Compostela, Oct 20, 2024
in conjunction with ECAI 2024 

News: Transferred papers expected on July 11

The 15th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2024) addresses all computational aspects of preference handling. This includes methods for the elicitation, learning, modeling, representation, aggregation, and management of preferences and for reasoning about preferences. The workshop studies the usage of preferences in computational tasks from decision making, database querying, web search, personalized human-computer interaction, personalized recommender systems, e-commerce, multi-agent systems, game theory, social choice, combinatorial optimization, planning and robotics, automated problem solving, perception and natural language understanding and other computational tasks involving choices. The workshop seeks to improve the overall understanding of and best methodologies for preferences in order to realize their benefits in the multiplicity of tasks for which they are used. Another important goal is to provide cross-fertilization between the numerous sub-fields that work with preferences.

The program will consist of presentations of peer-reviewed papers, panel discussions about future challenges, and an invited talk. Information about paper submission and participation can be found here.



Camera Ready

July 7, 2024

Aug 1, 2024

Oct 20, 2024



Preference handling in Artificial Intelligence

  • Qualitative decision theory
  • Non-monotonic reasoning
  • Preferences in logic programming and answer-set programming
  • Preferences for soft constraints in constraint satisfaction
  • Preferences for search and optimization
  • Preferences for AI planning
  • Preferences for reasoning about action and causality
  • Preference logic

Properties and semantics of preferences

  • Preference and choice
  • Preference aggregation
  • Incomplete or inconsistent preferences
  • Intransitive indifference
  • Uncertainty in preferences
  • Reasoning with and about preferences
  • Explaining preferences

Preference handling in multiagent systems

  • Game theory
  • (Combinatorial) auctions and exchanges
  • Social choice, voting, and other rating/ranking systems
  • Mechanism design and incentive compatibility

Preference elicitation and learning

  • Preference elicitation in multi-agent systems,
  • Preference elicitation with incentive-compatibility,
  • Learning of preferences,
  • User preference mining,
  • Revision of preferences,
  • Dealing with incomplete and uncertain preferences.

Preference handling in database systems

  • Preference query languages for SQL and XML
  • Algebraic and cost-based optimization of preference queries
  • Top-k algorithms and cost models
  • Ranking relational data and rank-aware query processing
  • Skyline query evaluation
  • Preference management and repositories
  • Personalized search engines

Preference representation and modeling

  • Linear and non-linear utility representations
  • Multiple criteria/attributes
  • Qualitative decision theory
  • Graphical models
  • Logical representations
  • Soft constraints
  • Relations between qualitative and quantitative approaches

Practical preferences

  • Comparison of approaches
  • Cross-fertilization
  • Interdisciplinary work
  • Tools, techniques, and libraries

Applications of preferences

  • Web search
  • Decision making
  • Combinatorial optimization and other problem solving tasks
  • Personalized human-computer interaction
  • Personalized recommendation systems
  • Hybrid personalized and collaborative filtering systems
  • Evaluation of recommender systems
  • e-commerce and m-commerce


Anaëlle Wilczynski
MICS, CentraleSupélec, Université Paris-Saclay