Problem:
- the
knowledge is distributed over different experts;
- the
recommendation depends on this distributed knowledge;
- it is important to keep the integrity of the
knowledge base of these experts, dealing with the conflicts that
appear during the recommendation process.
Our Goals:
- use a
multiagent knowledge-based recommender approach where the
recommendation is based on the collaboration of multiple agents
exchanging information stored in their local knowledge bases.