First-order jk-clausal theories are PAC-learnable
Artificial Intelligence
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Logical settings for concept-learning
Artificial Intelligence
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
User modeling in adaptive interfaces
UM '99 Proceedings of the seventh international conference on User modeling
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Latent Class Models for Collaborative Filtering
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Suggestion Strategies for Constraint-Based Matchmaker Agents
CP '98 Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming
Machine Learning for Adaptive User Interfaces
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Lookahead and Discretization in ILP
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
A Comparison of ILP and Propositional Systems on Propositional Traffic Data
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Formalization of a Cooperation Model Based on Joint Intentions
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Compositional Design and Verification of a Multi-Agent System for One-to-Many Negotiation
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Enabling integrative negotiations by adapitve software agents
CIA'99 Proceedings of the 3rd international conference on Cooperative information agents III
A Formal Framework for E-Barter Based on Microeconomic Theory and Process Algebras
IICS '02 Proceedings of the Second International Workshop on Innovative Internet Computing Systems
Formal Specification of Opinions Applied to the Consensus Problem
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Agent Technologies for the Development of Adaptive Web Stores
Agent Mediated Electronic Commerce, The European AgentLink Perspective.
Encoding PAMR into (Timed) EFSMs
FORTE '02 Proceedings of the 22nd IFIP WG 6.1 International Conference Houston on Formal Techniques for Networked and Distributed Systems
A Hierarchical Methodology to Specify and Simulate Complex Computational Systems
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Using recommendation to improve negotiations in agent-based systems
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Application of hybrid recommendation in web-based cooking assistant
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
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An important ingredient in agent-mediated Electronic Commerce is the presence of intelligent mediating agents that assist Electronic Commerce participants (e.g., individual users, other agents, organisations). These mediating agents are in principle autonomous agents that will interact with their environments (e.g. other agents and web-servers) on behalf of participants who have delegated tasks to them. For mediating agents a (preference) model of participants is indispensable. In this paper, a generic mediating agent architecture is introduced. Furthermore, we discuss our view of user preference modeling and its need in agent-mediated electronic commerce. We survey the state of the art in the field of preference modeling and suggest that the preferences of electronic commerce participants can be modelled by learning from their behaviour. In particular, we employ an existing machine learning method called inductive logic programming (ILP). We argue that this method can be used by mediating agents to detect regularities in the behaviour of the involved participants and induce hypotheses about their preferences automatically. Finally, we discuss some advantages and disadvantages of using inductive logic programming as a method for learning user preferences and compare this method with other approaches.