Recommending Travel Packages Upon Distributed Knowledge

Fabiana Lorenzi, Ana L. C. Bazzan, Mara Abel

This paper presents a multiagent recommender approach where the agents work in a distributed and cooperative way, sharing and negotiating knowledge with the global objective of recommending the best travel package to the user. This approach explores the use of truth maintenance system in order to keep the integrity of the agent knowledge-bases.

Subjects: 7.1 Multi-Agent Systems; 15.1 Belief Revision

Submitted: Apr 10, 2007

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